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Afterschool Alliance, 2025
The issue brief spotlights five exemplary afterschool programs that embody these essential characteristics in their programming and strategies to re-engage students. Down in Baton Rouge, Louisiana, the Baton Rouge Youth Coalition (BRYC) connects 8th-12th grade students with a "nucleus of adult support," including mentors, counselors, and…
Descriptors: Attendance, Cooking Instruction, Physical Activities, Age Differences
Xu Li; Wee Hoe Tan; Yu Bin; Peng Yang; Qiancheng Yang; Taukim Xu – Education and Information Technologies, 2025
Globally, physical education curricula are progressively integrating intelligent physical education systems, a breakthrough in physical technology. These systems utilise advanced data analytic and sensing technologies, significantly enhancing the interactivity and personalisation of physical activity, thus improving students' athletic performance…
Descriptors: Undergraduate Students, Intelligent Tutoring Systems, Physical Education, Curriculum
Alexander Tobias Neumann; Yue Yin; Sulayman Sowe; Stefan Decker; Matthias Jarke – IEEE Transactions on Education, 2025
Contribution: This research explores the benefits and challenges of developing, deploying, and evaluating a large language model (LLM) chatbot, MoodleBot, in computer science classroom settings. It highlights the potential of integrating LLMs into LMSs like Moodle to support self-regulated learning (SRL) and help-seeking behavior. Background:…
Descriptors: Computer Science Education, Databases, Information Systems, Classroom Environment
Xin Gong; Huixia Gu; Wei Gao; Siyuan Wang – School Effectiveness and School Improvement, 2025
In 2021, China issued the "Double Reduction" (DR) policy to reduce the within- and outside-school burden on students. The policy requires all compulsory education schools to provide after-school services such as homework tutoring and well-rounded development activities for willing students. Based on student survey data from 13 schools in…
Descriptors: Foreign Countries, After School Programs, Social Emotional Learning, Tutoring
Wen-Min Hsieh; Hui-Chin Yeh; Nian-Shing Chen – Computer Assisted Language Learning, 2025
Research on how the use of social robots helps improve English as Foreign Language (EFL) young learners' pronunciation and willingness to communicate (WTC) is understudied. This study developed a robot and tangible objects (R&T) learning system and examined its impact on elementary EFL learner's English pronunciation and WTC. The R&T…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Task Analysis
Carly Jean Colbert – Journal of Prison Education Research, 2025
The United States prison industry is the largest in the world. With the reintroduction of Second Chance Pell in 2015, more people are starting their education while incarcerated, and some attempt to finish after release. However, they are faced with numerous barriers that may prevent graduation. Drawing on Astin's theory of student involvement,…
Descriptors: Institutionalized Persons, Correctional Institutions, Access to Education, Barriers
Judith Scott-Clayton; Irwin Garfinkel; Elizabeth Ananat; Sophie Collyer; Robert Paul Hartley; Anastasia Koutavas; Buyi Wang; Christopher Wimer – Annenberg Institute for School Reform at Brown University, 2025
In 2015, the City University of New York (CUNY) launched a new program--Accelerate, Complete, and Engage (ACE)--aimed at improving college graduation rates. A randomized-control evaluation of the program found a nearly 12 percentage point increase in graduation five years after college entry. Using this impact estimate and national data on…
Descriptors: Bachelors Degrees, Graduation Rate, Intervention, Outcomes of Education
Zhang, Wei – ECNU Review of Education, 2019
Purpose: This article examines responses from the tutoring sector to Chinese national and local government regulations on private supplementary tutoring. It adds to the literature on policy enactment, showing the importance of context and noting the diversity of tutoring providers compared with schools. Design/Approach/Methods: The article draws…
Descriptors: Foreign Countries, Private Education, Supplementary Education, Tutoring
du Boulay, Benedict – British Journal of Educational Technology, 2019
Intelligent Tutoring systems (ITSs) and Intelligent Learning Environments (ILEs) have been developed and evaluated over the last 40 years. Recent meta-analyses show that they perform well enough to act as effective classroom assistants under the guidance of a human teacher. Despite this success, they have been criticised as embodying a retrograde…
Descriptors: Intelligent Tutoring Systems, Teaching Methods, Meta Analysis, Artificial Intelligence
Fang, Ying; Ren, Zhihong; Hu, Xiangen; Graesser, Arthur C. – Educational Psychology, 2019
Assessment and Learning in Knowledge Spaces (ALEKS) is one of the widely used online intelligent tutoring systems (ITS) in the USA, but it has rarely been included in meta-analyses of ITS efficacy to help students learn. We conducted a meta-analysis to assess the effectiveness of ALEKS on learning. A total of 15 empirical studies were conducted…
Descriptors: Electronic Learning, Intelligent Tutoring Systems, Meta Analysis, Instructional Effectiveness
Zanetti, Margot; Iseppi, Giulia; Cassese, Francesco Peluso – Research on Education and Media, 2019
This work analyses the use of artificial intelligence in education from an interdisciplinary point of view. New studies demonstrated that an AI can "deviate" and become potentially malicious, due to programmers' biases, corrupted feeds or purposeful actions. Knowing the pervasive use of artificial intelligence systems, including in the…
Descriptors: Artificial Intelligence, Programming, Technology Uses in Education, Influence of Technology
Osborne, Jessica D.; Parlier, Richard; Adams, Talisha – Learning Assistance Review, 2019
In Fall 2016, the Student Success Center at the University of Tennessee, Knoxville began a two-year study to assess participant impacts of three key academic success programs: academic coaching, tutoring, and Supplemental Instruction (SI). Survey results revealed that participants perceived academic impacts in all three programs and that students…
Descriptors: Academic Achievement, Coaching (Performance), Tutoring, Supplementary Education
Liu, Junyan; Bray, Mark – British Journal of Sociology of Education, 2022
Growing literatures highlight global shifts in education brought by spreading neoliberal values and marketisation. Parallel literatures address parenting styles. Parents, these literatures observe, are increasingly made responsible and/or voluntarily take responsibility for educational inputs alongside mainstream schooling. Much parental…
Descriptors: Parent Responsibility, Private Education, Tutoring, Supplementary Education
Mohamed, Mohamed Zulhilmi bin; Hidayat, Riyan; Suhaizi, Nurain Nabilah binti; Sabri, Norhafiza binti Mat; Mahmud, Muhamad Khairul Hakim bin; Baharuddin, Siti Nurshafikah binti – International Electronic Journal of Mathematics Education, 2022
The advancement of technology like artificial intelligence (AI) provides a chance to help teachers and students solve and improve teaching and learning performances. The goal of this review is to add to the conversation by offering a complete overview of AI in mathematics teaching and learning for students at all levels of education. A systematic…
Descriptors: Artificial Intelligence, Mathematics Instruction, Meta Analysis, Databases
Le, Huixiao; Jia, Jiyou – Interactive Technology and Smart Education, 2022
Purpose: In intelligent tutoring systems (ITS), learners were often granted limited authority and are forced to obey the decision of the system which might not satisfy their needs. Failure to grant learners sufficient autonomy could yield unexpected effects that hinder learning, including undermining learners' motivation, priming learners'…
Descriptors: Intelligent Tutoring Systems, Design, Program Implementation, Personal Autonomy

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