article Article Summary
Dec 03, 2024
K-12 education needs to rapidly adapt to integrate AI literacy and technical education while carefully balancing pedagogical approaches and ethical considerations.
K- education needs to rapidly adapt to integrate AI literacy and technical education while carefully balancing pedagogical approaches and ethical considerations Objective To examine current practices challenges and provide guidance for teaching AI to K- students while leveraging lessons learned from CS education Methods Review and analysis of recent research... continue
article Article Summary
Dec 02, 2024
Teacher education programs must rapidly integrate AI literacy and tools to prepare future educators for an AI-transformed educational landscape.
Teacher education programs must rapidly integrate AI literacy and tools to prepare future educators for an AI-transformed educational landscape Objective To explore potential uses benefits and challenges of AI tools in teacher education programs and provide practical examples for integrating AI in teacher preparation Methods Analysis of existing literature and... continue
article Article Summary
Nov 20, 2024
There is no significant difference in self-esteem scores between high school students who participated in artificial intelligence (AI) counseling and those who did not when controlling for pretest scores.
Objective To determine the difference in self-esteem scores among high school students who participate in artificial intelligence counseling and those who do not when controlling for pretest scores Methods Quasi-experimental nonequivalent control-group pretest-posttest design high school students from a private Christian school in Maryland Treatment group received minutes of AI... continue
article Article Summary
Nov 19, 2024
AI-enabled assessment tools have a moderate positive effect (effect size = 0.390) on students' language learning outcomes in K-12 education.
Objective To explore the design implementation and effectiveness of AI-enabled assessment tools in K- language learning through systematic review and meta-analysis Methods Systematic review of empirical studies from to Meta-analysis of studies with experimental and control groups Data collected from six databases EBSCO ProQuest Scopus Web of Science ACM Digital... continue
article Article Summary
Nov 18, 2024
Teachers' self-determination and comprehensive curriculum planning approaches are essential for successful AI education implementation in K-12 schools.
Objective To explore teachers' views on key considerations for preparing implementing and refining formal AI curriculum for K- schools using self-determination theory and curriculum planning approaches as theoretical frameworks Methods Semi-structured interviews were conducted with teachers with AI teaching experience and without and thematic analysis was used to analyze the... continue
article Article Summary
Nov 15, 2024
The integration of a Large Language Model-based Programming Learning Environment (LPLE) significantly improves both students' programming ability and autonomous motivation in high school programming education.
To investigate the impact of an LPLE on first-year high school students' programming ability motivation and basic psychological needs satisfaction in a formal educational setting Methods Quasi-experimental design with first-year high school students Experimental group students used LPLE while control group students used conventional methods Five-week intervention with two -minute... continue
article Article Summary
Nov 14, 2024
The development and validation of an AI literacy diagnostic tool for elementary school students demonstrates reliable measurement of AI competencies and shows gender-based differences in AI literacy favoring female students.
The main goal was to develop and validate an AI literacy diagnostic tool for elementary school students while establishing a framework for AI literacy content in K- education Methods Developed an AI literacy content framework through literature review and expert Delphi validation n Created modular questions based on the framework... continue
article Article Summary
Nov 13, 2024
Digital literacy significantly impacts the intention of pre-service special education teachers to use AI in education through its influence on perceived usefulness and ease of use.
The main goal of the study was to examine the factors that influence pre-service special education teachers' intention to use AI in education focusing on digital literacy teacher self-efficacy perceived ease of use and perceived usefulness Methods The study utilized a survey distributed to pre-service special education teachers at a... continue
article Article Summary
Nov 12, 2024
Pre-service teachers' intention to learn AI is significantly influenced by their basic knowledge of AI, subjective norms, and self-efficacy, explaining about 79% of the variance in their behavioral intention.
Objective To examine pre-service teachers' perceptions and behavioral intention to learn AI by identifying factors that might affect learning and promoting AI in teacher preparation programs Methods Survey of pre-service teachers across universities in North Central Nigeria Used structural equation modeling PLS-SEM to analyze relationships between variables Evaluated nine factors... continue
article Article Summary
Nov 09, 2024
An automatic test question generation system combining natural language processing and deep learning techniques successfully generates high-quality educational questions, outperforming existing models in both automated and human evaluations.
Objective To develop and evaluate an automatic question generation system that can create high-quality examination questions from teaching materials using natural language processing and Topic Model focusing on selecting meaningful declarative sentences and generating relevant questions Methods Two-stage approach combining sentence selection and neural question generation Implementation of topic-embedding question... continue
article Article Summary
Nov 09, 2024
AI implementation in education significantly enhances student learning experiences and outcomes, particularly in mathematics education, as demonstrated through improved academic performance, engagement, and personalized learning pathways.
To investigate the potential of Artificial Intelligence AI in enhancing learning experiences and student outcomes specifically through analyzing various AI tools and conducting a case study in a mathematics classroom Methods Literature review of existing studies on AI in education Case study implementation in a ninth-grade algebra class with students... continue
article Article Summary
Nov 08, 2024
While AI in education offers transformative potential for personalized learning and teaching efficiency, its implementation requires careful ethical consideration and robust frameworks to protect student privacy and ensure educational integrity.
The main goal of this study was to analyze and consolidate existing research on ethical implications of artificial intelligence in education focusing on identifying key concerns evaluating implementation frameworks and determining research gaps Methods The study conducted a comprehensive literature review analyzing multiple research papers and publications It employed comparative... continue