#self-directed-learning — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #self-directed-learning, aggregated by home.social.
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DATE: August 19, 2026 at 08:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: How the use of artificial intelligence harms college students’ ability to learn
College students who copy answers from artificial intelligence tools without verifying the information experience declines in their ability to learn independently. These unreflective habits are associated with a weaker belief in students’ own capabilities and a reduced motivation to learn. The findings were published in Scientific Reports.
Generative artificial intelligence programs can quickly write essays, generate computer code, and solve advanced mathematical equations. These tools have become common academic aids on college campuses across the globe. When students use these systems to seek explanations or brainstorm new ideas, the technology can expand their academic perspectives and improve their studying efficiency.
But reliance on automated answers carries potential academic risks. Hui Zhao and Huijuan Gu, researchers at Zhoukou Normal University, designed a study to examine what happens when students use artificial intelligence thoughtlessly. The researchers define thoughtless use as a pattern in which users blindly adopt machine-generated text without critically evaluating, verifying, or deeply understanding the outputs.
The researchers wanted to know how this specific habit affects self-directed learning. Self-directed learning is a core educational skill in higher education. It refers to a student’s capacity to independently set goals, apply study strategies, and monitor their own academic progress. Students with high self-directed learning abilities can manage their time and actively evaluate what they do and do not understand.
To understand the relationship between technology habits and study skills, the researchers looked at two psychological factors. The first is self-efficacy, which is a person’s internal belief in their capacity to successfully complete tasks and overcome challenges. The second factor is learning motivation, which encompasses the psychological drives that push a student to initiate and persist in their coursework. The researchers based their investigation on the idea that a student’s environment, personal beliefs, and daily behaviors all shape one another in a continuous, reciprocal cycle.
Zhao and Gu recruited 487 undergraduate students from four universities in Henan Province, China, to complete an online survey. The participants answered a series of questions assessing their study habits on a five-point scale. The respondents ranged from college freshmen to seniors and represented a variety of academic disciplines, including the humanities, social sciences, and natural sciences.
The survey measured four distinct categories using established psychological scales. First, it assessed how often students engaged in thoughtless artificial intelligence use. Participants rated their agreement with statements such as “I copy learning tasks or problem statements into generative AI to seek answers or ideas” and “I feel that generative AI is more capable than I am in learning and problem-solving.”
Second, the survey measured the students’ academic self-efficacy. This section asked participants to reflect on their confidence when facing difficult materials, using prompts like “I believe that I can independently master complex learning content.”
Third, the researchers measured the students’ overall motivation to learn. This included questions about their curiosity, their desire to master new skills, and the satisfaction they gained from overcoming academic hurdles. Finally, the survey evaluated the students’ capacity for self-directed learning by asking how often they actively checked their own understanding of the material or created knowledge frameworks like mind maps.
The researchers used a statistical technique called structural equation modeling to analyze the survey responses. This analytical method allows scientists to observe complex networks of relationships between multiple different variables at the same time, rather than just looking at two variables in isolation.
The analysis revealed that the thoughtless use of artificial intelligence is strongly associated with lower levels of self-directed learning. Students who habitually relied on automated answers reported worse self-management skills and lower cognitive engagement in their coursework.
The researchers identified a specific psychological pathway explaining this decline. The authors suggest that an unreflective reliance on technology deprives students of the opportunity to struggle through complex problems. Without the experience of overcoming academic challenges through their own hard work, students reported lower levels of self-efficacy.
This lower confidence in their own abilities was in turn linked to a reduced motivation to learn. When individuals do not believe they can succeed on their own, their willingness to invest effort naturally declines. With less motivation and lower self-confidence, the students became less capable of managing their own educational progress, acting instead as dependent users of external tools.
The researchers also conducted a multi-group analysis to see if these patterns differed between men and women. This statistical test allowed the authors to compare the strength of the psychological relationships across the two demographic groups.
The analysis uncovered distinct gender differences in how thoughtless technology use relates to psychological well-being. For male students, unreflective use showed a stronger negative association with learning motivation. The researchers suggest that male students often view technology primarily as a tool for efficiency, meaning that immediate automated answers quickly replace their internal drive to engage deeply with the material.
For female students, thoughtless use was associated with steeper declines in self-efficacy and self-directed learning. The researchers note that female students tend to adopt more reflective and evaluative study strategies in their traditional coursework. When they bypass these reflective processes by copying automated answers, they miss out on the mastery experiences that traditionally build their academic confidence.
The study relies on cross-sectional data, meaning all the information was collected at a single point in time. Because the researchers did not track the students over a long period, the statistical results highlight relationships between behaviors and beliefs but cannot definitively prove cause and effect. It is possible that students who already have low self-efficacy are simply more likely to use artificial intelligence thoughtlessly.
The demographic makeup of the sample also presents some limitations. The participants were drawn exclusively from universities in a single Chinese province, and nearly eighty percent of the respondents were female. Expanding future surveys to include a more balanced demographic distribution across different regions would help verify if these patterns hold true for other student populations.
Additionally, the survey measured motivation as a single, unified concept. Future research could split this category into intrinsic motivation, such as natural curiosity, and extrinsic motivation, such as a desire for good grades. Separating these concepts would provide a more detailed picture of how automated tools influence a student’s inner drive to succeed. Future studies might also track students over an entire semester to see how their habits and self-confidence evolve as they face different types of academic challenges.
The study, “Thoughtless Use of Generative Artificial Intelligence and College Students’ Self-Directed Learning: A Multi-Group SEM Analysis of Gender Differences,” was authored by Hui Zhao and Huijuan Gu.
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #AIAwareness #StudentLearning #SelfDirectedLearning #AcademicIntegrity #GenerativeAI #SelfEfficacy #LearningMotivation #EducationResearch #ThinkBeforeYouCopy #GenderDifferencesAI
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🇬🇧 Self-directed learning vs contemporary education system
The article explores the differences between the traditional teacher-centred model of education and self-directed learning. Can these approaches coexist, and what benefits or challenges does self-directed learning bring to today's education system?
📖 Read more (EN):
https://informujte.cz/en/self-directed-learning-vs-contemporary-education-system/#SelfDirectedLearning #Education #EducationSystem #Learning #Teaching #OnlineLearning #DigitalLearning #EdTech #Students #Teachers
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Generative AI and metacognitive laziness
While I’m sceptical of their experiment research design*, the concept of metacognitive laziness from this paper is clearly a useful contribution to thel literature. As Fan et al define it, this refers to “earners’ dependence on AI assistance, offloading meta – cognitive load and less effectively associating responsible metacognitive processes with learning tasks”. This matters because “offloading metacognitive effort to AI tools results in less effective engagement with essential self-regulatory tasks,” (pg 506). The risk is not just the offloading itself, it is increased passivity in the wider process of which the offloaded tasks are part.
This can undermine self-regulated learning because the metacognitive requirements for doing this effectively (e.g. goal setting, self-monitoring, self-evaluative etc) can be eroded over time by a reliance on the AI to negotiate difficulty. As they summarise the risk on pg 492:
the tendency of learners to become over-reliant on AI poses challenges for hybrid intelligence. This issue aligns with the concept of cognitive offloading, as proposed by Risko and Gilbert (2016), where learners delegate cognitive tasks to external tools to reduce cognitive effort. Although cognitive offloading can be beneficial in managing cognitive load, it may lead to decreased internal cognitive engage- ment over time, ultimately impacting learners’ ability to self-regulate and critically engage with learning material (Risko & Gilbert, 2016). Such cognitive offloading can lead to habitual avoidance of deliberate cognitive effort, a phenomenon echoing the emergence of what we term metacognitive laziness. From a more theoretical perspective, Alter et al. (2007) demonstrated that metacognitive experiences of difficulty or disfluency activate more analytical reasoning processes. When learners encounter situations that challenge their intuition, they are more likely to engage in deliberate analytical thinking (i.e., System 2 processes) (Alter et al., 2007). In the context of GenAI, if learners rely excessively on AI-generated outputs or facilitation, they might not experience the necessary disfluency or cognitive difficulty to trigger these deeper metacognitive processes.
The experience of difficulty activates metacognition. If the students cognitively outsource in increasingly habitual ways, it doesn’t just mean they lose the learning involved in what they are outsourcing. It means they lose their capacity to tolerate difficulty, as well to respond metacognitively to that difficulty. This points to the assumption which many educators have that there is something fundamentally corrosive in how students relate to AI which carries a threat exceeding the particular risks for any one assignment. This is a really sharp conceptualisation of the epistemic risk for learning involved in generative AI which gets beyond some of the limits of the ‘cognitive offloading’ concept.
*It seems fundamentally implausible to operationalise intrinsic motivation in the context of an experimental study. If you reduce motivation into the student’s expressed engagement with discrete tasks then it’s been quite dramatically circumscribed to fit the experimental constructs. Furthermore, we urgently need longitudinal studies in order to make meaningful claims about things like ‘cognitive off-loading’, ‘skill atrophy’ and ‘metacognitive laziness’. These just aren’t things which can be studied adequately at the level of discrete tasks, particularly ones that have been designed by a research team and have no real stakes for participants.
#AI #cognitiveOffloading #cognitiveScience #learning #metacognition #selfDirectedLearning #Thinking -
The areas I want to study are community resilience, community building/development, food systems and sovereignty (both the ecology & economics side of things).
Formal learning options with this combination are not exactly common, so the program I'm studying 'Community Resilience and Leadership' was the best fit. And I've been able to focus my assessments towards food systems/sovereignty).
Moving to more self-directed learning I think I'll need a mentor working in this space.
#CommunityResilience #CommunityBuilding #FoodSovereignty #LocalFoodSystems #FediCareer #SelfDirectedLearning #CareerAdvice #CareerChange
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Ah, the eternal quest for self-directed learners! 🚀 Who knew that with a billion internet users and limitless access to online courses, we'd still struggle to find anyone who can answer a simple question or tackle a real-world challenge? 🤔 Maybe they're all too busy binge-watching cat videos on YouTube! 🐱
https://saigaddam.medium.com/where-are-all-the-self-directed-learners-ccfb2421e52c #selfDirectedLearning #onlineCourses #internetUsers #realWorldChallenges #catVideos #HackerNews #ngated -
Where are all the self-directed learners? — https://saigaddam.medium.com/where-are-all-the-self-directed-learners-ccfb2421e52c
#HackerNews #selfDirectedLearning #learners #education #lifelongLearning #skillsDevelopment -
The Reggio Emilia approach emphasizes natural development and deep environmental connections. One Community integrates this into an open-source, evolving Education for Life Program, blending curriculum, teaching strategies, tools, and classroom design for adaptable, lifelong learning.
https://onecommunityglobal.org/reggio/
#Education #LifelongLearning #OpenSourceEducation #AlternativeEducation #ChildDevelopment #SelfDirectedLearning #SustainableEducation #HolisticLearning #ProjectBasedLearning
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Good Sunday, #homeschool, #HomeEducation, #unschooling, & #SelfDirectedLearning families. Week 2 slow #HSchat is all about history and science curriculum. Tell us your favorite. What did you like most about it? How did your kids engage with it? OR, flip the questions and tell us about your least favorite curriculum & why you feel like you wasted $$ on it.
Remember: Use the hashtag #HSchat in replies & check back throughout the week for replies so you can keep the convo going.
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@shaninthewoods Taking the ego out of #unschooling and the parent side of #SDL #SelfDirectedLearning << yes to this. I think the hardest part is having faith that the #learning lulls will eventually lead to learning leaps. #HSchat
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Hey #HomeEducation, #unschooling, and #SelfDirectedLearning #SDL families: Today’s a good day to start that slow chat we talked about before the new year - where we pose a question and folks take time to repsond to the thread throughout the coming days? The goal is to create a supportive community for those who chose to educate their kids at home.
Wk 1 #HSchat: Briefly intro yourself & describe your #homeschool philosophy. What's the most challenging part of educating your own kids?
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@esnyder @JennyAnyDot I would love to see a weekly slow-chat on rotating #homeschool, #SelfDirectedLearning and #unschooling topics
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To my #DigitalHumanities & #AI/#ML folk: As a #SelfDirectedLearning indie #CitizenScientist, I am reluctant to make a clean break and move to the m’don federation. Twitter has been an essential channel for evolving my #PLN Personal Learning Network. At 71-yo, I know how impossible it was in the pre-Internet world to engage directly with world class researchers in your domain of interest. But I increasingly feel uncomfortable with how things are evolving at Twitter. Hello from Colorado USA, 👋🤓✌️
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I'm not going to talk about the actual study results because it was an online market research survey of random parents during covid19 w/ presumably have no personal frame of reference for what unschooling actually is, but let's take a look at the study's discussion of findings and how there's now quantifiable evidence that shows parents don't know enough about #SelfDirectedLearning to figure out how to #unschool on their own and it's up to the #academic "experts" to tell them how to do it. /4
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Hi @acpresso 👋🤓✌️TY4Follow. Given your linguistic interest, you may be interested in this article: https://bit.ly/Witmores-text. I wrote this post-cancer in 2015 at start of my rebirth as a #DigitalHumanities #CitizenScientist. This helped me develop my #SelfDirectedLearning #PLN Personal Learning Network by opening communication with #digitization researchers like @patrick_sahle asking them for feedback & resource suggestions.
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#Introduction (again), since I changed instances **and** lost all my followers and following. I'm a K to college #homeschool mom. For 10+ years, I led a secular statewide advocacy group & helped write @HomeEducation regulations in #Maryland. I like to toot about serendipitous learning opps, #SelfDirectedLearning, & #unschooling. I offer critical analysis of #homeschool research because if we want respect as a valid #SchoolChoice, we can't push BS statistics.
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@ct_bergstrom - As an unfunded #DigitalHumanities & #AI/#ML #CitizenScientist and #DisabledDeveloper, the move to online & hybrid events has been a pandemic-accelerated helpful side-effect for us #SelfDirectedLearning folk. Combined with #OpenAccess publishing and #AcademicTwitter for my #PLN Personal Learning Network, I hope many of these trends become the #NewNormal.