Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 3, 2025
Language: Английский
Smart Learning Environments, Journal Year: 2024, Volume and Issue: 11(1)
Published: June 18, 2024
Abstract The growing integration of artificial intelligence (AI) dialogue systems within educational and research settings highlights the importance learning aids. Despite examination ethical concerns associated with these technologies, there is a noticeable gap in investigations on how issues AI contribute to students’ over-reliance systems, such affects cognitive abilities. Overreliance occurs when users accept AI-generated recommendations without question, leading errors task performance context decision-making. This typically arises individuals struggle assess reliability or much trust place its suggestions. systematic review investigates particularly those embedded generative models for academic learning, their critical capabilities including decision-making, thinking, analytical reasoning. By using Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines, our evaluated body literature addressing contributing factors effects contexts. comprehensive spanned 14 articles retrieved from four distinguished databases: ProQuest, IEEE Xplore, ScienceDirect, Web Science. Our findings indicate that stemming impacts abilities, as increasingly favor fast optimal solutions over slow ones constrained by practicality. tendency explains why prefer efficient shortcuts, heuristics, even amidst presented technologies.
Language: Английский
Citations
78
Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: 6, P. 100219 - 100219
Published: April 3, 2024
This study investigates the impact of activity-based learning and utilization ChatGPT on students' academic performance within educational framework. The aims to assess effectiveness in comparison traditional methods, while also evaluating potential benefits drawbacks integrating as an tool. employs a comparative approach, analyzing outcomes students exposed versus those using conventional methods. Additionally, examines usage education through surveys trials determine its contribution personalized feedback, interactive learning, innovative teaching findings reveal that enhances engagement, motivation, critical thinking skills. Students participating demonstrate improved achievement, which is attributed their active involvement practical application knowledge. Similarly, integration offers novel avenues for individualized assistance, fostering understanding exploration complex concepts. In conclusion, proves be student-centered approach by participation engagement. showcases enhance experiences conversations methodologies, despite considerations regarding limitations ethical implications.
Language: Английский
Citations
45
Education Sciences, Journal Year: 2024, Volume and Issue: 14(8), P. 814 - 814
Published: July 25, 2024
This paper investigates the integration of ChatGPT into educational environments, focusing on its potential to enhance personalized learning and ethical concerns it raises. Through a systematic literature review, interest analysis, case studies, research scrutinizes application in diverse contexts, evaluating impact teaching practices. The key findings reveal that can significantly enrich education by offering dynamic, experiences real-time feedback, thereby boosting efficiency learner engagement. However, study also highlights significant challenges, such as biases AI algorithms may distort content inability replicate emotional interpersonal dynamics traditional teacher–student interactions. acknowledges fast-paced evolution technologies, which render some obsolete, underscoring need for ongoing adapt strategies accordingly. provides balanced analysis opportunities challenges education, emphasizing considerations strategic insights responsible technologies. These are valuable educators, policymakers, researchers involved digital transformation education.
Language: Английский
Citations
21
Learning and Instruction, Journal Year: 2024, Volume and Issue: 95, P. 102011 - 102011
Published: Sept. 12, 2024
Language: Английский
Citations
21
Assessment & Evaluation in Higher Education, Journal Year: 2024, Volume and Issue: 49(6), P. 893 - 905
Published: April 10, 2024
Generative artificial intelligence (AI) has rapidly increased capacity for producing textual, visual and auditory outputs, yet there are ongoing concerns regarding the quality of those outputs. There is an urgent need to develop students' evaluative judgement – capability judge work self others in recognition this new reality. In conceptual paper, we describe intersection between generative AI with a view articulating how assessment practices can help students learn productively AI. We propose three foci: (1) developing outputs; (2) processes; (3) student judgements. argue capabilities identify calibrate uniquely human at time technological acceleration through existing formative strategies. These approaches circumvent interrupt uncritical usage The relationship more than just application machine have collective responsibility, as educators learners, ensure that humans do not relinquish their roles arbiters quality.
Language: Английский
Citations
20
Journal of Chemical Education, Journal Year: 2024, Volume and Issue: 101(5), P. 1836 - 1846
Published: April 25, 2024
The chemistry education research community values and emphasizes the role of constructing explanations mechanistic reasoning to support students' learning organic chemistry. Emerging large language model (LLM) generative artificial intelligence (GAI) technologies are uniquely equipped advance teaching GAI-based chatbots, such as ChatGPT, have potential help students learn through their generated responses. This study investigates extent which 255 ChatGPT-generated responses accurate 85 different reaction mechanisms exhibit categorized by levels explanation sophistication framework. also explores effects prompt engineering on mechanism accuracy three types cueing. Study findings show that (1) a quarter fully majority contain predominantly chemical phenomena identification nucleophiles electrophiles, (2) high sophistication, (3) plays significant in eliciting but not description accuracy. Results situated frameworks with focus how these new can be integrated into classroom.
Language: Английский
Citations
13
Discover Education, Journal Year: 2024, Volume and Issue: 3(1)
Published: June 11, 2024
Abstract
Artificial
intelligence
(AI)
tools,
notably
ChatGPT,
are
increasingly
recognised
for
their
transformative
potential
in
higher
education.
This
study
employs
a
detailed
case
approach
complemented
by
survey,
delving
into
ChatGPT’s
impact
on
pedagogical
practices,
student
engagement,
and
academic
performance.
It
involved
74
undergraduate
postgraduate
students
enrolled
data
analytics
courses
Australia.
The
quantitative
analysis
highlights
role
providing
personalised
on-demand
support,
which
is
highly
valued
among
users
its
flexibility
responsiveness,
meeting
critical
demand
educational
settings.
Notably,
the
identifies
medium
effect
size
(
$$\eta
^2
=
0.173$$
Language: Английский
Citations
13
European Journal of Education, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 17, 2024
ABSTRACT Artificial Intelligence (AI)‐driven chatbots, such as ChatGPT, have significantly impacted education, especially for English a Foreign Language (EFL) learners. However, there is paucity of empirical evidence concerning the role chatbots in psycho‐emotional constructs like well‐being and emotion regulation. It important to address this issue because it can further our understanding ways through which using ChatGPT affects EFL This study aimed unpack intersection between well‐being, with focus on mediating regulation context Iran. Using convenience sampling, 492 learners (205 males 287 females) were invited complete validated scales measuring use, The outcomes structural equation modelling revealed strong mediation effect relationship well‐being. Additionally, significant positive correlations found both Besides, was established among results imply that integration into Iranian learning environment be beneficial, considering its
Language: Английский
Citations
11
Education and Information Technologies, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 22, 2024
Language: Английский
Citations
11
Journal of Chemical Education, Journal Year: 2024, Volume and Issue: 101(6), P. 2483 - 2492
Published: May 30, 2024
Large language models (LLMs) such as ChatGPT have recently been challenging traditional of higher education. Given the growing use these tools for writing, research, and content retrieval tasks, it is imperative that both students faculty understand their capabilities shortcomings. Here we describe assignments in which lower- upper-division evaluated chemistry writing samples generated revised by version 3.5 used this program revision other tasks. General Chemistry who AI-generated showed strong gains knowledge about report structure deficiencies LLMs chemistry. Upper-division found generative AI to be helpful revision. Content analysis revealed AI-revised -generated exhibited fewer grammatical errors, very short long sentences, improved readability text. We conclude with some implications future research suggestions instructors wish adapt assignments.
Language: Английский
Citations
10