Impact of AI on Building Competencies and Cultural Awareness: AI facilitates the development of crucial competencies such as human-
tool collaboration, self-learning, and skills, which are essential for fostering AI literacy.
Methodology
Authors Title Source title Advantages Findings
(Year)
(Korte et al., Enhancing artificial intelligence Computers Students from 13 different countries Without requiring any prior
2024) literacy through cross-cultural and (n=29) participated in two online programming experience, the The results of the study showed
online workshops Education lectures and workshops on AI literacy. workshops promoted interactive, that after taking part in cross-
Open They completed pre- and post- collaborative learning and cultural online workshops,
improved cross-cultural students' AI literacy increased
workshop questionnaires, kept
communication, giving students a dramatically and they felt more
journals, and had their answers deeper understanding of artificial comfortable discussing AI
analyzed using paired-samples t-tests intelligence. concepts.
and thematic content analysis.
(Sanusi et Investigating learners’ Computers 605 responses to a hardcopy survey Incorporating AI education in K-12 The study found that cultural
al., 2022) competencies for artificial and that was given to Nigerian K–12 fosters essential competencies, competence, human-tool
intelligence education in an African Education secondary school students was equipping students with skills and collaboration, self-learning, skill
K-12 setting Open obtained using a quantitative knowledge for future AI-related competence, and ethics
fields, promoting critical thinking, significantly influence AI education
methodology approach.
and addressing ethical content in African K-12 settings.
considerations.
(Sanusi et Investigating the moderating effects Education a quantitative approach utilizing Incorporating AI for social good Teachers' perceptions of AI for
al., 2024) of social good and confidence on and structural equation modelling. An and boosting teacher confidence social good and confidence
teachers' intention to prepare school Information online questionnaire was used to can enhance AI education significantly moderate the
students for artificial intelligence Technologie collect data from 320 in-service effectiveness, fostering positive relationships between AI anxiety,
attitudes and readiness among perceived usefulness, attitude,
education s teachers at lower and upper secondary
teachers to integrate AI in relevance, and readiness in
schools, the majority of whom worked classrooms. predicting their intention to teach
in STEM-related fields. AI.
(Ouyang et Integration of artificial intelligence Internationa An online engineering course was the This integrated approach enhances Integrating AI performance
al., 2023) performance prediction and l Journal of setting for quasi-experimental research teaching effectiveness by providing prediction with learning analytics in
learning analytics to improve Educational to compare the effects of students' timely feedback, fostering an online engineering course
student learning in online Technology collaborative learning with and collaboration, and improving significantly improved student
learning outcomes in online engagement, collaborative learning
engineering course in Higher without the support of the integrated
education settings. performance, and satisfaction.
Education approach
(Cooper, Examining Science Education in Journal of Using self-study inspired by Pavlik's In online engineering courses, According to the study, AI content
2023) ChatGPT: An Exploratory Study of Science journalism experience, this study student engagement, performance, understanding significantly benefits
Generative Artificial Intelligence Education collects and analyzes ChatGPT's and learning experiences were from cultural competence, human-
and answers, records the author's greatly enhanced by the integration tool collaboration competence, self-
of AI performance prediction learning competence, and skill
Technology experiences, and compares findings
models with learning analytics competence. This highlights how
with established research themes visualization and feedback, which crucial these competencies are to
also improved overall educational the growth of AI literacy.
outcomes.
(W. Park & Implementing artificial intelligence Internationa There were three stages to the study: Through AI-focused projects, AI education programs
Kwon, education for middle school l Journal of planning, creating, and refining. Pre- middle school students' problem- significantly improved students'
2024) technology education in Republic Technology and post-tests using PATT and AI solving abilities are strengthened, interest in technology and career
of Korea and Design competency tools were used for their technological literacy is aspirations, as well as AI
increased, and they are better competencies, particularly in
Education student evaluations, along with 16
prepared for their future careers. understanding AI's social impact
hours of AI instruction and expert and performance.
consultations.
(Mouta et Design of a future scenarios toolkit Education the study employed the Delphi method By encouraging critical thinking, By considering the ethical issues,
al., 2023) for an ethical implementation of and to enhance expert opinions into a providing useful scenarios to guaranteeing transparency, and
artificial intelligence in education Information comprehensive toolkit. support educators' professional incorporating all educational
Technologie development, and cultivating a stakeholders, a focus on ethical
thoughtful and informed approach, issues in AI education fosters
s
this toolkit equips students to responsible use and comprehension
navigate ethical challenges in AI. of AI technologies.
Impact of AI on Ethical and Responsible Learning: AI's role in emphasizing ethical considerations, transparency, and stakeholder
involvement is vital for ensuring responsible use and understanding of AI technologies.
Methodology
Authors Title Source title Advantages Findings
(Year)
(Johnston et Student perspectives on the use of Internationa A group of library students developed Despite the difficulties in Students agreed ChatGPT as a
al., 2024) generative artificial intelligence l Journal for the survey for this study, and focus managing AI-generated content, collaborative resource and modified
technologies in higher education Educational groups were used to ensure its validity. using ChatGPT in assignments can their initial perceptions of it as a
Integrity 2555 students in all took part in the improve student learning by possible "cheating tool" to one that
requiring active engagement and was more moral and helpful.
survey.
critical thinking.
(Tossell et Student Perceptions of ChatGPT IEEE In a pre-post study, information from By offering helpful criticism, The use of ChatGPT in essay
al., 2024) Use in a College Essay Assignment: Transactions 24 participants was gathered to ChatGPT can be used as an assignments enhances students'
Implications for Learning, Grading, on Learning evaluate ChatGPT's influence on essay instructional tool to help students awareness of the need for human
and Trust in Artificial Intelligence Technologie assignments. Its impact and write better essays. However, trust oversight and equips them with
and dependency concerns must be relevant skills. However, there is a
s educational value were assessed using
properly handled. need for clear guidelines to reduce
quantitative techniques and thematic student confusion.
analysis.
(Butler & OK Google, help me learn: an Technology, Two groups of 7-12 year old New These devices enhance student Voice-activated AI devices are
Starkey, exploratory study of voice-activated Pedagogy Zealanders used Google Home in engagement and learning perceived as useful for academic,
2024) artificial intelligence in the and classrooms, analyzing usability and autonomy, support interactive oral social, and technological learning
classroom Education educational alignment using Biesta's communication, and provide but require consideration of ethical
immediate responses, fostering a implications and appropriate
education functions and Davis's
dynamic learning environment classroom integratio
Technology Acceptance Model.
(Walan, Primary school students’ Internationa Through focus groups, reports, and AI supports personalized learning, Students expressed both positive
2024) perceptions of artificial intelligence l Journal of pre-tests, this case study of 11–12- identifies at-risk students, and and negative sentiments towards
– for good or bad Technology year-old Swedish students investigates automates administrative tasks, AI, highlighting its support in
and Design their opinions and usage of AI using enhancing educational outcomes studies and practical tasks, and
and efficiency. concerns about job loss, privacy,
Education Mitcham's framework and the AI
and rapid development.
literacy pillars.
(Rahiman & Revolutionizing education: Cogent a cluster and multi-stage sampling AI integration improves Awareness and performance
Kodikal, Artificial intelligence empowered Education approach was used in choosing 250 personalized learning, identifies at- expectancy significantly enhance
2024) learning in higher education faculty members from QS risk students, automates tasks, and faculty engagement and AI tool
(Quacquarelli Symonds) ranked boosts faculty engagement and application, while facility
motivation to innovate in teaching conditions positively influence
institutions operating in hybrid
and research. attitudes towards AI, supporting its
education mode. Factors impacting the
adoption of AI in this context were adoption in academic practices.
investigated using a structural
equation model and a quantitative
research methodology.
(An et al., Modeling English teachers’ Education A survey was conducted in an AI Behavioral Intention (BI) of EFL
2023) behavioral intention to use artificial and education demonstration district in AI in language education makes teachers to use AI in the classroom
intelligence in middle schools Information China. A 5-point Likert scale was used personalized learning possible and was found to be significantly
Technologie in this survey; it was created based on offers real-time feedback, which positively predicted by
boosts learning satisfaction and Performance Expectancy (PE),
s prior research and EFL teacher
lowers student anxiety and Social Influence (SI), AI Language
interview transcripts. A total of 470 Technological Knowledge (AIL-
enhances the effectiveness and
legitimate answers were gathered. quality of instruction. TK), and AI Technological
Pedagogical Content Knowledge
(AI-TPACK).
(Kim & Investigation into the Influence of Education A test tool was used to evaluate the By encouraging positive attitudes Middle school students' attitudes
Lee, 2023) Socio-Cultural Factors on Attitudes and attitudes of 1,677 middle school and raising AI literacy, particularly towards AI were significantly
toward Artificial Intelligence Information students in Korea who were chosen to among underprivileged students, AI influenced by socio-cultural factors,
Technologie participate. education can close the digital with disadvantaged students
divide and advance fair access to showing more positive attitudes
s
technology and all of its toward AI after receiving AI
advantages. education.
Hemachand Artificial Intelligence: A Universal Computatio The study analyzes the current state of Implementing artificial intelligence Despite challenges, the study
ran K., Virtual Tool to Augment Tutoring in nal higher education and the challenges in higher education can enhance demonstrates the potential of
Verma P., Higher Education Intelligence faced by faculty and students. It then communication, streamline artificial intelligence to bridge the
Pareek P., and uses a student assessment dataset to processes, and improve learning gap between human lecturers and
outcomes. The use of machine machines in education. The analysis
Arora N., Neuroscienc build a synthesized model using
learning algorithms provides achieved a maximum accuracy of
Rajesh e generative adversarial network (GAN) insights and predictions that can 58%, indicating the feasibility of
Kumar K.V., and applies various machine learning benefit both faculty and students. using AI technologies for
Ahanger algorithms for analysis. educational purposes. However,
T.A., Pise concerns about the psychological
A.A., Ratna impact of AI on faculty and
R. (2022) students remain an important
consideration.
Zang G., The Application of 5G and Computatio The study explores integrating Benefits include improved Experimental results demonstrate
Liu M., Yu Artificial Intelligence Technology nal artificial intelligence and 5G into teaching, personalized learning, and effectiveness, boosting student
B. (2022) in the Innovation and Reform of Intelligence college English education, proposing enhanced critical thinking skills. interest and hands-on abilities in
learning English.
College English Education and specific techniques for
Neuroscienc implementation.
e
Li W., Liu F. Exploration on College Ideological Computatio The study conducts a theoretical Integrating AI-intellectualized IT Undergraduates benefit most from
(2022) and Political Education Integrating nal analysis of AI-intellectualized into College IAPE shows benefits technological advancements, with
Artificial Intelligence- Intelligence Information Technology (IT) in outweighing drawbacks. an average impact of 89.04%, while
Intellectualized Information and College Ideological and Political Technological development gains students with higher degrees
71.17% improvement, with experience an impact of 85.78%.
Technology Neuroscienc Education (IAPE), utilizing Discrete
technology innovation performance Diversified teaching methods have
e Cosine Transform (DCT)-Based being the main focus, intriguing a significant impact of 62.48% on
Speech Recognition (SR) and Genetic 75.92% of students. all students, suggesting broad
Algorithm (GA)-Based Image acceptance and enthusiasm for AI-
Recognition (IR). intellectualized IT in IAPE.
Zhang Y. Construction of English Language Mathematic The study explores building a learning Utilizing AI technology in learning AI-powered learning systems
(2022) Autonomous Learning Center al Problems center system using artificial systems enhances autonomous significantly improve autonomous
System Based on Artificial in intelligence (AI) technology to learning, with a 53% probability learning abilities, evidenced by
Intelligence Technology Engineering enhance English language autonomous observed compared to 35% in higher probabilities and student
traditional methods. About 70% of preferences. The study underscores
learning. Experiments compare
students prefer AI-based learning, the importance of expanding AI
traditional textbook learning with AI- indicating a significant preference applications in English autonomous
based systems to assess autonomous for technology-driven learning learning to leverage technological
learning probabilities. approaches. advancements for improved
learning outcomes.
