Monat: Dezember 2023

Blogpost written by Fynn Wojke and Peter Khalil 

Key points:

• When online services are not working as intended, AI chatbots that seem friendly and charming appear to lower customer frustrations.
• As customer service shifts increasingly to the digital world, chatbots that react with a sense of empathy and playfulness may be key to maintain good customer relations.

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Customer Service in a Digital World

These days, there’s a noticeable trend of filling online shopping carts more often than physical ones, as visualized in Figure 1. Therefore, it’s now more crucial than ever for companies to prioritize efficient customer support.

Imagine a package you were waiting for didn’t show up on time, and all you got from the service center was a cold, automated ‘sorry’? Now, picture a chatbot that can actually make you smile about the inconvenience with a playful joke or a cute message. This works not solely as a clever distraction from the inconvenience, but also builds a bridge to the ‘human’ in customer service.

This blogpost is about making artificially intelligent (AI) chatbots ‘act cute.’ At first, this may sound simple, but is based on deep knowledge about how humans respond to cuteness. Apparently, a new study published in 2022 investigates whether chatbots that use playful jokes or cuteness — like the kind we see in babies — can help calm customers down after something goes wrong, like a late delivery.

The Role of a Chatbot’s Behavior

The study’s method is as interesting as the idea itself. They put several people in the situation where an online service went wrong, something we all find annoying.

Then, the researchers asked people to reach out to different chatbots with their problems in a controlled setting: some chatbots had playful and joking characteristics, some chatbots were  ‘cute’, and others acted nothing special. ‘Acting-cute’ here means using playful humor and charm on purpose to make customers happy, especially when they’re having problems with a service. By observing different reactions to varied chatbot behavior, the researchers could observe how these different behaviors from the chatbots affected people’s moods.

Unveiling the Findings: Behavior Really Matters!

Results were apparent: chatbots that ‘act-cute’ help to ease customer irritation.

To act cute, chatbots adapted two different behaviors, namely ‘whimsical’ and the ‘kindchenschema’. Both strategies work by manipulating the customer’s emotional state through psychological mechanisms rooted in human instincts. So, they aim at redirecting the customer’s focus away from their negative feeling towards the service failure. While whimsical behavior counts on the human desire for entertainment and distraction, the effectiveness of the kindchenschema is rooted in the instinct to nurture and protect.

However, researchers have revealed that the success of this approach depends on the specific situation. For more severe problems or if the customer was not comfortable with technology, chatbots that went for a playful, humorous approach (whimsical) were more effective, especially with men. Chatbots that seemed childlike (kindchenschema), worked better for people who were more at ease with technology and were in general more successful with women.

A Call to Action for Emotionally Intelligent AI

The findings show that personalizing customer service is the route to take.

While a ‘cute’-chatbot may be just right for some people, others may suit different behaviors. Therefore, knowing their customers will be crucial for any online-service provider in the near future. We believe that, as different behavioral strategies can help businesses turn bad customer experiences into good ones, the application of ‘acting-cute’-AI might set a new standard in terms of customer happiness. Thus, we argue that the use of AI will soon not only solve problems but also serves to understand us, empathize with us, and enhance overall customer relation.

While the findings seem cohesive, there is still room for discussion. Given the differences in how men and women respond to different chatbot personalities, we question which other demographic or cultural factors need to be considered by a company when implementing an AI strategy regarding customer service.

As AI is constantly improving nowadays, even able to be indistinguishable from humans in certain tasks, ethical questions arise. We wonder where policy makers will draw the line in a machine’s emotional intelligence, and which ethical considerations would come into play if there will be no restrictions.

 

References

Zhang, T., Feng, C., Chen, H. et al. Calming the customers by AI: Investigating the role of chatbot acting-cute strategies in soothing negative customer emotions. Electron Markets 32, 2277–2292 (2022). https://doi.org/10.1007/s12525-022-00596-2

Blogpost written by Vinh Nghi Ha and Zahara Kalanda

“Ignoring [Instagram Influencer Marketing] is like opening a business but not telling anyone.” KB marketing Agency

Key points:

• Identifying and choosing the right influencers who will affect a brand´s target audience is key.
• The perceived value of Instagram influencers is definitely influenced by their number of followers
• A high number of followers is undeniably cool, but is it always true influence?
• A unique product is important in order to set a brand apart from its competitors

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Instagram Influencers: Why the fuss?

Curiosity killed the cat. First and foremost who is an Instagram influencer? This is a person with a large number of followers who is able to sway their followers´ consumption behaviour, this is done by posting content in either video, photographic or interesting statement (meme) format, with a link referring to a product/service of their interest. Every time a viewer sees the content, they see the link besides it, and usually there is a relationship between the content posted and the product/service of interest, either directly or indirectly.

Instagram influencers have accumulated a large number of followers, whom when shown the right product/service, will take the bait by clicking on the link associated to the product, viewing it and further making a purchase, now that’s powerful!

Most of us if not all of us have seen numerous sponsored posts on our Instagram feeds before, and perhaps went on to click on a link or more.

Every time a viewer buys a product by clicking the link, the influencer earns a commission.

With the rise of influencers on social networks, many brands meet difficulties in determining accounts that could bring huge potential benefits to future target audiences. Another challenge they face is determining how content related to their goods/services is to be communicated between various entities on social networks. For example how to generate multiple shares, likes among others.

Since many consumers can freely express their brand preferences including brand information and product reviews over virtual interactions, consumption has definitely become personal, a whole way of life. Consumers use brands to communicate their identity and in turn assess others based on their consumption behaviour, a phenomenon that has shed light on the fact that consumers´ decisions are influenced by interpersonal sources thus giving Instagram influencers the centre stage.

Electronic word of moth #Instagram

Traditional marketing tactics like email marketing, constant pop-up ads on various websites among others, has led to the advancement of ad-blocking software and spam clicks, hence influencer marketing has been alternatively applied by brands, especially on Instagram. Rather than pushing their ads to their target audience, brands are turning to trusted online personas to get their products and messages out to the consumer. However, despite its growing use, there has been little experimental research on the phenomenon of influencer marketing.

Proven facts

Before we delve deeper, please note that an opinion leader is an influencer whose opinion about a product/service has a big influence on the opinion of others about it, for instance a situation where you might decide to purchase a certain perfume simply because your favourite celebrity has recommended it and they recommended you should click the link below, well that’s it.

In this study , various Instagram accounts with the same profiles and different degrees of followers from low to high were created. The study explores which Instagram influencer is the best marketing choice in terms of number of followers. In order to achieve this, the questions asked were whether one’s number of followers contributes to his/her status as an opinion leader and how it affects general likeability towards him/her.

It was found that Instagram influencers with a high number of followers are perceived as more popular and likeable which in turn leads to increase in ascribed opinion leadership.

Hence it was found that the more followers an influencer had, the more it positively affected the attitudes towards them. for the most through higher perceptions of popularity and for a small part because these higher perceptions of popularity lead people to ascribe more opinion leadership to the influencer

However this perception of popularity does not always lead to opinion leadership. Do you agree?

The thin line between followers and followees

As the common saying goes too much of anything can be bad, there is also a downside to having many followers. The study further portrayed that a high number of followers combined with low number of accounts followed by the influencer can be a recipe for disaster which lowers the trust and credibility of users towards the endorser yet authenticity should precisely be the strength of collaborating with influencers. Let us contemplate about this for a moment as would be consumers by asking ourselves the following questions; Is he/she only focusing mainly at commercial collaborations?, Is this a false account created for advertising purposes?, does she/he see us, care about us his/her followers and can we trust him/her? Among others. Believe it or not, these questions would most likely either push you or hold you back from tapping that link posted by such an influencer.

The product design matters, too

Distinct design products are those that have unique recognisable designs and attributes that set them apart from similar products on the market. The iPhone is a great example of such a product, not only is its appearance different from other phones on the market, so is its mobile operating system the iOS.

The study revealed that such Distinct design products contributed to higher perceived brand uniqueness, consequently fostering more positive attitudes towards the brand.

Interestingly, these positive attitudes towards the brand were more pronounced when the influencer had a moderate number of followers compared to a very high number, simply because the lesser the followers  the less common the product appears to be and the reverse is true.

Wrapping it up

In conclusion, while a high number of followers generally enhances influencer likability, this effect depends on factors such as the number of followees. Additionally, the impact of product design on brand attitudes is nuanced, with the influencer’s follower count influencing the effectiveness of product divergence. These insights provide valuable considerations for marketers aiming to navigate the complexities of influencer collaborations on social media platforms like Instagram.

Penny for your thoughts?

A lot is lacking when it comes to emphasizing the need for brands to consider factors beyond follower counts when selecting influencers. Hence suggesting that the evaluation criteria should encompass various attributes like content quality and engagement.

Brands should invest more in Instagram influencer marketing for there is no doubt that Instagram influencers are increasingly popular and affecting consumers’ attitudes, perceptions, preferences, choices, and decisions.

Furthermore, brands need to focus on the product design itself and find ways of standing out on the market, for its not always only about the number of followers an influencer has. But a unique product is popular too.

Overall, the findings provide valuable insights for marketers aiming to optimize influencer marketing strategies in the dynamic landscape of social media advertising.

What’s your opinion on this?, we would like to here your thoughts and any experiences you have had with influencer marketing on Instagram and other social media platforms. Please comment below.

 

REFERENCES

 De Veirman, M., Cauberghe, V., & Hudders, L. (2017). Marketing through Instagram influencers: The impact of number of followers and product divergence on brand attitude. https://www.tandfonline.com/doi/full/10.1080/02650487.2017.1348035

Blogpost written by Papa Yaw Forson and Cahit Calasin

Key Points:

• Employees who use social media platforms could be vulnerable to online social comparison.
• The drawbacks of social media use were examined in relation to online social comparison.
• Using social media to engage in online social comparison may have a detrimental effect on workers‘ productivity.

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Social media has integrated itself into our everyday lives in the age of digital interaction, impacting the way we share information and communicate. But social media’s influence is not limited to our private lives; it also has an impact on the workplace, causing concerns about its place there as well. Huang and Fan (2022) issued a research paper that explores this fascinating topic by examining „The Dark Side of Social Media in the Workplace“ from the standpoint of social comparison.

First and foremost, we have to give the social media it’s flowers for the enormous benefits companies have had using it in the working place. Social media has improved communication, branding, productivity, advertisement, etc. and the list goes on. But as stated earlier, online social comparison among employees can have a negative consequences of their psychological well-being and work behaviour and this is the focus of our blogpost.

Online Social Media Comparison

People evaluate their own social and personal value by comparing themselves to other people. This can be seen in the workplace on social media, where staff members frequently post snippets of their career successes, life events, and even difficulties at work. The effects of these social comparisons on workplace dynamics and employee well-being are examined in Huang and Fan’s research. Here is link to the research paper, Click Here.  An example of how online social comparison can affect, A PhD candidate whose research paper has not been published may feel intimidated after seeing on his friend’s social media profile, who is also a PhD candidate, that this friend’s paper has been published in a notable journal. Online social comparison is an extension of the traditional social comparison in the context of social media. Nevertheless, individuals would always want to portray positive information about their work achievements and journeys on their social media profile. So, who is to be blamed? The people who decide to share their milestones or people who are offended by what they see?

The Catalyst: Ego-Depletion

When employees compare themselves to others on social media, it can make them feel drained and affect how well they do their job. This feeling of being drained is called ego-depletion, and it’s like a link between online social comparison and job performance. In simple terms, comparing on social media changes how employees feel and think (the first part), which then leads to a temporary drop in their ability to do well at work (the next part). So, it’s like a chain reaction – social media comparisons impact how we feel and think, and that, in turn, affects how we do our job.

What to do next?

The research sheds light on the negative aspects of social media use at work but also provides useful information for potential solutions. Promoting an environment of openness and honesty in the workplace can assist staff members in communicating their struggles and accomplishments more truthfully, both online and off as well. Companies should also think about putting in place social media policies that encourage appropriate usage and forbid overzealous self-promotion. Furthermore, encouraging a supportive and welcoming work environment can lessen the negative effects of social comparison by fostering a sense of unity and mutual success.

Take home

Social media undoubtedly has many benefits at the workplace. However, from the lens of online social comparison, information on social media among employees leads to online social comparison which subsequently leads to negative emotions and psychological states of employees depending on their level of ego-depletion, which again leads to poor job performance. Managers and employees can mitigate this problem by knowing the rational use of social media, being particular about what information to consume and lastly creating an atmosphere for employees to feel appreciated.

 

REFERENCES

CareerAddict. (n.d.). Negative Effects of Social Media in the Workplace. CareerAddict. https://www.careeraddict.com/negative-effects-of-social-media-in-the-workplace.

Huang, X., & Fan, P. (2022). The dark side of social media in the workplace: A social comparison perspective. Computers in Human Behaviour, 127, Article 107377. https://doi.org/10.1016/j.chb.2022.107377 .

Verywell Mind. (n.d.). Ego Depletion: What It Is and Why It Happens. Verywell Mind. https://www.verywellmind.com/ego-depletion-4175496 .

Blogpost written by Julian Canaj and Kashif Khan

Are you experiencing fatigue and struggling to engage with the lecture content? Your phone discreetly vibrates, and suddenly, five minutes later, you find yourself immersed into TikTok, sneakily hiding your device beneath the table. Rest assured, this behavior is not unique. Extensive use of your smartphone can be part of the behavior called ‘procrastination’. Other aspects of it include a certain delay of tasks, sometimes even up to the point of having worse results in e. g. tests. Studies have found that scrolling through social media (=procrastinating) can not only be distracting but might also lead you to a “smartphone problem”.

Key Points 

• Problematic smartphone use and the connection to procrastination 
• Social media use as part of procrastination in lecture settings

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People can develop a habit to delay their tasks to a future time. This practice is most common for tasks that are perceived as boring, difficult or unpleasant. The so-called procrastination is a problematic behavior which is linked to the additional stress and depression. In the modern digital world, procrastination is often perceived as scrolling in your smartphone while using social media.

Using social media platforms is amongst the main activities while using smartphones. Many people use the platforms to be constantly available and to connect online. While these are noble objectives, studies show that getting immediately little dopamine kicks through e.g. messages and notifications serve as a rewarding system and create a demand for attention.

Is it just a coincidence that similar features are also used to program gambling machines? Not at all.

The mentioned elements are purposely designed to keep the users engaged, making it difficult to stop procrastinating via social media, especially for individuals with lower self-control.

Additionally, the constant availability of smartphone technology make it easier to use them extensively. If the usage takes up a large amount of every day’s life and results in problems for other aspects of life’s chores, it can be defined as “problematic smartphone use”. This is defined by the fact that users create dependence on their smartphones and therefore negatively influencing their daily life.

More around the study!

The study in Computer in Human Behavior (2018) conducted by Dmitri Rozgonjuk, Mari Kattago and Karin Täht uncovered how the procrastination and problematic smartphone use are connected. To uncover this question, this relationship is being studied while using social media in lecture as a specific form of procrastinatory behavior.

How did they find it?

Three hundred and sixty-six Estonian students answered different questionnaires connected to smartphone addiction, procrastination and the social media use in lectures.

This research found that people that procrastinate usually engage in more problematic smartphone use, consequently leading them to have negative academic outcomes. As a result, procrastination is not only linked to the problematic use of smartphone devices, but also implies that it might be the root cause of problematic smartphone use.

Additionally, the authors revealed that procrastination is connected to the social media use in lectures. This fact is supported by the design features and behavioral habits formed from social media platform usage. As social media platforms are widely founded in smartphones, this can to a greater extent drive higher social media engagement in lectures.

Finally, an important discovery arises from the fact that the social media used in lectures, as a form of procrastination boosts even further the problematic smartphone use.

What does this suggest?

As the smartphone can be found almost in every pocket of the student, using social media during lectures takes away attention from the lecture itself, resulting in poorer grades for the student who procrastinates.

Brief conclusion

This paper discovered that social media use in lecture, as part of procrastination, is linked with problematic smartphone use. For you as a student, this study can help you handle procrastination better. Additionally, by addressing procrastination tendencies and guiding responsible technology use, educational outcomes can potentially be improved.

 

References: 

Rozgonjuk, D., Kattago, M., & Täht, K. (2018). Social media use in lectures mediates the relationship between procrastination and problematic smartphone use. Computers in Human Behavior, 89, 191-198. https://doi.org/10.1016/j.chb.2018.08.003

Blogpost written by Mohammad Owais Khan and Sadaqat Ghafoorzai

Key Points:

• Take the spotlight on the 21^st century skills, emerging as the essential superheroes for thriving in the digital era.
• Communication steals the show in the digital literacy realm, reigning supreme in educational publications.
• Let the exploration begin! Educational researchers, dive into the digital realm, bridging academia and real-world digital expertise to meet future demands.

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You’re navigating the maze of the internet, toggling between apps, and decoding information in a world that seems to communicate in bits and codes. In the midst of this digital jungle, have you ever wondered if your skills match the demands of the 21st century? That’s the mystery we’re exploring.

Think about the last time you collaborated on a project, communicated an idea effectively, or faced a problem head-on. These aren’t just moments; they are the building blocks of what experts call 21st-century skills. Today, we unravel the secrets of mastering these skills, offering a compass for your journey through the digital age. So, be ready, because the digital playground is about to get more exciting, and you’re at the center of it all!

In an important study by Vered Siber-Varod and team (2019), they looked back over the years (from 1980 to 2016) to see how digital skills have changed. What did they discover? A bunch of really helpful information about the skills you need to do well in today’s digital world.

The Big Seven Skills

 Collaboration, Communication, Creativity, Critical Thinking, Information Literacy, Problem-solving, and Socio-emotional skills. These aren’t just buzzwords; they are the superheroes of the 21st-century’s learning domain. In a world dominated by screens and codes, mastering these skills becomes the golden ticket to navigating the complex digital landscape.

Collaboration is when different people with different skills work together smoothly, creating something amazing together, Communication acts like a beautiful melody, helping everyone understand each other better. As things come together, Creativity adds new and exciting ideas to make everything more innovative, Critical Thinking is carefully examining information and guiding you toward smart decisions. Meanwhile, Information Literacy as the helpful guide, helping everyone understands and uses complex information. When things get tough, Problem-solving steps in to fix issues and find solutions and finally, Socio-emotional Skills are like the feelings that create a positive vibe, helping everyone work together happily. All these skills work like a team, getting us ready for the challenges of the digital world.

Communication Takes the Crown!

Communication emerges as the rockstar skill, stealing the spotlight in the digital literacy realm. In the ERIC Database, the pulse of educational publications, communication reigns supreme. It’s the most prominent term. But don’t underestimate its trusty partners; problem solving and collaboration—they’re right there, sharing the stage.

Tech! Where are you hiding?

Now, here’s the plot twist. In this era of technology and while we’re immersed in a digital revolution, there’s a surprising scarcity of interest in the term „Technology“ within research.  It’s like having a blockbuster movie with no mention of the specialFX team. By 2016, in the database of educational resources (ERIC), this term barely crossed the 20% mark, indicating a void in understanding the skills crucial for our tech-centric world.

Unveiling the Research Riddles

In the finale, the study sounds the alarm. Educational researchers, it’s time to roll up your sleeves. Dive deep into it. The digital age demands a spotlight on these skills, and it’s high time we answer the call. The future waits, equipped with skills that bridge the gap between academic knowledge and real-world digital prowess. Let the exploration begin!

Final Thoughts

As we navigate the ever-evolving landscape of education in the 21st century, this study lightens the path forward for educators, learners and researchers. 21 century learning skills emerge as the keystones of success in a digital era.

For educators, integrating these skills into teaching methodologies is vital, fostering a generation equipped to thrive in the complexities of the digital world. To learners, it offers a roadmap for personal and academic achievement, emphasizing the practical importance of these skills beyond the classroom. For researchers, the identified gaps in technology-related research signals for exploration. In essence, this is more than an academic endeavor, it’s a call to act, urging us all to embrace and empower the digital literacy competencies to define our success in the educational landscape of the future.

 

References:

Silber-Varod, V., Eshet-Alkalai, Y. and Geri, N. (2019), Tracing research trends of 21st-century learning skills. Br J Educ Technol, 50: 3099-3118. https://doi.org/10.1111/bjet.12753

 

Blogpost written by Vishnu Mohan and Gopi Krishnan

Key Points

• Analysing the self-regulatory process of complex science learning
• potential and opportunities of artificial intelligence (AI) methods to analyse self-reporting protocols for recognizing cognitive and metacognitive strategies of self-regulated learning.
• Efficiency of human classifier and AI classifier

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Are you frustrated about the progress your tasks projects and studies, don’t worry an AI powered model is being designed to analyse Self-regulatory learning and its strategies. Self-regulated learning is a cyclical process, wherein the student plans for a task, monitors their performance, and then reflects on the outcome (Zimmermann). Self-regulated learning helps individuals to drive their learning car through a right track. It is evident that learners those who failed to be in resonance with Self-Regulated Learning could benefit less from their learning journey.

Cognitive strategies are a combination of active learning technologies for example summarizing information, enhancing comprehension and retention. As well as Meta cognitive strategies focus on self-awareness and regulation. Allowing individuals to monitor their own learning process. In collective, these strategies create a powerful working model to improve self-regulated learning it is clear that the proper analysis of self-regulatory learning Enhance one’s learning experience. The learning is entered into digital era the emphasis should also go to self-regulated digital learning. It’s clear that employing self-regulated learning strategies will facilitate learning autonomy.

It is found that recognizing cognitive and metacognitive started this of self-regulated learning through conventional methods is time consuming as well as impossible to an extent.

Here a study done by C-Y Wang and John J.H Lin Is important as well as relevant done with the to investigate the potential and opportunities of an artificial intelligence mother to analyse self-reporting protocols for recognizing cognitive and metacognitive strategies of self-regulatory learning

Scope of the study

In this digital era, usage of artificial intelligence in self-regulatory learning is popular. If a machine learning system is able to extract cognitive and meta cognitive an activity from a complex data set will make the analysis easier. Do artificial intelligence already became one of the most influential technologies in digital learning here we are standing with an argument well-functioning AI based classification will be helpful

The study

Aim of this study is crystal clear and understandable as well as that will definitely drag our attention to the result. Researchers explore the scope of an artificial intelligence model to classify Cognitive and metacognitive moves in complex science tasks. Rather than a research or study it’s an effort to build a bidirectional artificial intelligence powered Long-Term Short-Term Memory (recurrent neural network (RNN) in which cells are connected along a temporal sequence) to classify cognitive or metacognitive activities implemented and self-reported by the learners during the task-solving process.

In a nutshell, C.-Y. Wang, John J.H. Lin conducted this study to in this study, we aim to explore the potential and opportunities of utilizing an AI model to support the identification of cognitive and metacognitive activities from verbatim protocols of scientific explanations evaluation tasks in a Self-regulatory learning context

The fact that human coders need a variety of domain knowledge to analyse cognitive or metacognitive information increases the feasibility of an artificial intelligence model, and that a human-cantered perspective can help an artificial intelligence model provide information for decision-making can be considered as fuels for this study.

Along with exploring the scope of an AI model researchers specifically emphasized on (1) how the way the AI is built (its structure) and the dropout rate used during training affect how well it works or performs its tasks. (2) To what extent are the judgements between human and AISE consistent? (3) What differences can occur between human-based methods and AISE, and where do these differences potentially come from?

Methods

To achieve our goal, a Long-Term Short-Term Memory model called AISE was designed to recognize cognitive and metacognitive moves from long narratives. The whole procedure in implementing AISE consists of five stages, namely data collection for the SRL task, data labelling, data preprocessing, implementation of AISE, and evaluation of AISE. 39 Undergraduate students from forums of social media in northern Taivan selected as participants of the study. After the above-mentioned stages different statistical test and a qualitative analysis conducted to have solutions on above mentioned specific concerns

Results

After such a scientific and statistical methods and analysis, it’s found that potential of AI model and some points of improvement to be done.

The specific emphasize of the study brought a very clear results the study says that machine learning is capable of classifying learners Cognitive and meta cognitive strategies from thinking process protocols, but one critical think which must understand is sample size of the study was limited. But statistical data and analysis shown a fair consistency between humans and AISE. Moreover, the application of AISE own similar task but with different topics also shown a very good performance.

Beyond these, we found that the accuracy of the LSTM model is affected by complex text patterns containing both temporal cues and extended segments involving multiple cognitive and metacognitive actions ie co-occurring or overlaid cognitive and metacognitive activities in a paragraph.

Conclusion

This study sum ups with a hope that an AI model can work fairly well to support analysing self – regulated learning, that is self-reporting protocols for cognitive and meta cognitive strategies. In our view the discrepancies founded can be treated with more structured and educated machine system.

As well as this research broadens the doors for further research about how AI models can perform more effectively with long verbatim, text, dataset. Even though this research explored the scope of AI in analysis of Self-regulated learning still discussed urges on this topic. After reading this paper, we are thinking about how an automatically periodic feedback system can amplify self-regulatory learning. Which will help learners and researchers to review their process.

 

 References

Wang & Lin (2023): Utilizing artificial intelligence to support analyzing self-regulated learning: A preliminary mixed-methods evaluation from a human-centered perspective. https://doi.org/10.1016/j.chb.2023.107721

Huang, S., & Wang, H. (2016). Bi-lstm neural networks for Chinese grammatical error diagnosis. dec (Osaka, Japan).

Image:https://www.pexels.com/photo/bionic-hand-and-human-hand-finger-pointing-6153354/

Papamitsiou, Z., & Economides, A. A. (2019). Exploring autonomous learning capacity from a self-regulated learning perspective using learning analytics. British Journal of Educational Technology, 50(6), 3138–3155. https://doi.org/10.1111/bjet.12747

Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into Practice, 41(2), 64–70.