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Chung, Cheng-Yu; Hsiao, I-Han; Lin, Yi-Ling – Journal of Research on Technology in Education, 2023
Creating practice questions for programming learning is not an easy job. It requires the instructor to diligently organize heterogeneous learning resources. Although educational technologies have been adopted across levels of programming learning, programming question generation (PQG) is still predominantly performed by instructors without…
Descriptors: Artificial Intelligence, Programming, Questioning Techniques, Heterogeneous Grouping
Mayer, Christian W. F.; Ludwig, Sabrina; Brandt, Steffen – Journal of Research on Technology in Education, 2023
This study investigates the potential of automated classification using prompt-based learning approaches with transformer models (large language models trained in an unsupervised manner) for a domain-specific classification task. Prompt-based learning with zero or few shots has the potential to (1) make use of artificial intelligence without…
Descriptors: Prompting, Classification, Artificial Intelligence, Natural Language Processing
Li, Shijin; Gu, Xiaoqing – Educational Technology & Society, 2023
With artificial intelligence (AI) is extensively applied in education, human-centered AI (HCAI) has become an active field. There although has been increasing concern about how to systematically enhance the AI applications effect, AI risk governance in HCAI education has not been discussed yet. This study adopted literature meta-analysis, along…
Descriptors: Man Machine Systems, Artificial Intelligence, Risk, Delphi Technique
Galindo-Domínguez, Héctor; Losada Iglesias, Daniel – Journal of School Violence, 2023
The objective of this study has been to analyze the impact of emotional intelligence (EI), interpersonal difficulties and life satisfaction in the relationship between victimization and suicidal ideation. For this purpose, a total of 898 adolescents responded to the Peer School Victimization Scale, Wong-Law Emotional Intelligence Scale and Suicide…
Descriptors: Emotional Intelligence, Suicide, Psychological Patterns, Adolescents
Sahlgren, Otto – Learning, Media and Technology, 2023
As awareness of bias in educational machine learning applications increases, accountability for technologies and their impact on educational equality is becoming an increasingly important constituent of ethical conduct and accountability in education. This article critically examines the relationship between so-called algorithmic fairness and…
Descriptors: Algorithms, Accountability, Data Collection, Educational Policy
Arslan, Deniz; Sak, Ugur – Journal of Psychoeducational Assessment, 2023
The purpose of this study was to examine the factorial invariance of the ASIS (Anadolu Sak Intelligence Scale) across gender. Raw scores from the ASIS standardization study (N = 4641) were used in the analyses. Factorial invariance was analyzed by gender across three age groups: 4-7 (N = 2528), 8-9 (N = 848), and 10-12 (N = 1265) using the…
Descriptors: Gender Differences, Intelligence Tests, Factor Analysis, Raw Scores
Murad, Dina Fitria; Murad, Silvia Ayunda; Irsan, Muhamad – Journal of Educators Online, 2023
This study discusses the use of an online learning recommendation system as a smart solution related to changing the face-to-face learning process to online. This study uses user-based collaborative filtering, item-based collaborative filtering, and hybrid collaborative filtering. This research was conducted in two stages using the KNN machine…
Descriptors: Online Courses, Grades (Scholastic), Prediction, Context Effect
Botelho, Anthony; Baral, Sami; Erickson, John A.; Benachamardi, Priyanka; Heffernan, Neil T. – Journal of Computer Assisted Learning, 2023
Background: Teachers often rely on the use of open-ended questions to assess students' conceptual understanding of assigned content. Particularly in the context of mathematics; teachers use these types of questions to gain insight into the processes and strategies adopted by students in solving mathematical problems beyond what is possible through…
Descriptors: Natural Language Processing, Artificial Intelligence, Computer Assisted Testing, Mathematics Tests
Patel, Nirmal; Nagpal, Pooja; Shah, Tirth; Sharma, Aditya; Malvi, Shrey; Lomas, Derek – Journal of Computer Assisted Learning, 2023
Background: Readability metrics provide us with an objective and efficient way to assess the quality of educational texts. We can use the readability measures for finding assessment items that are difficult to read for a given grade level. Hard-to-read math word problems can put some students at a disadvantage if they are behind in their literacy…
Descriptors: Mathematics Tests, Readability, Word Problems (Mathematics), Mathematics Achievement
Dukewich, Kriste; Larsen, Carmen – Online Submission, 2023
Generative AI platforms like ChatGPT have exploded into our cultural awareness this year. Across post-secondary institutions, it was immediately apparent that faculty were eager to explore and discuss what this potentially disruptive technology might mean for them, their courses and their students. We wanted to create an opportunity for that…
Descriptors: Artificial Intelligence, College Faculty, Teacher Attitudes, Postsecondary Education
Alberth – TEFLIN Journal: A publication on the teaching and learning of English, 2023
The emergence of generative artificial intelligence such as ChatGPT has left people feeling ambivalent and disagreement among scholars, academicians, educators and the community at large prevails. While the artificial intelligence could potentially revolutionize how research is conducted and how research papers are written, a number of ethical…
Descriptors: Artificial Intelligence, Academic Language, Writing (Composition), Ethics
Karolina Andersdotter – Journal of Information Literacy, 2023
The rapid expansion of artificial intelligence (AI) poses challenges as well as opportunities for anyone or anything dealing with digital technologies, including libraries. Libraries and librarians have a twofold challenge in that they simultaneously must consider AI applications in library operations as well as AI skills and knowledge as part of…
Descriptors: Artificial Intelligence, Information Skills, Librarians, Librarian Attitudes
Pickett, Monica; Dalton, Rebecca; Madsen, Julie; Torres, Felicia A. – ProQuest LLC, 2023
This study was developed to research the attrition of educators. The research led the team to determine that teachers were more likely to stay in the profession if they felt supported and understood by the administration. This led to research on Emotional Intelligence and the positive impact it can have on teacher retention. The problem the team…
Descriptors: Faculty Mobility, Teacher Persistence, Emotional Intelligence, School Districts
Torres, Felicia A.; Madsen, Julie; Pickett, Monica; Dalton, Rebecca – ProQuest LLC, 2023
There is a significant concern about teacher shortages. Teaching requires a lot of dedication. Without dedicated teachers, students' success might only be inspirational ideas. However, district and building-level leadership can help educators build resilience through Emotional Intelligence (EI). EI is defined by Goleman (2014) as "how well we…
Descriptors: Faculty Mobility, Teacher Persistence, Emotional Intelligence, School Districts
Dalton, Rebecca; Madsen, Julie; Pickett, Monica; Torres, Felicia A. – ProQuest LLC, 2023
This study was developed to research the attrition of educators. The research led the team to determine that teachers were more likely to stay in the profession if they felt supported and understood by the administration. This led to research on Emotional Intelligence and the positive impact it can have on teacher retention. The problem the team…
Descriptors: Faculty Mobility, Teacher Persistence, Emotional Intelligence, School Districts

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