Topics of Interest

Advanced placement courses and Pre-college preparations
AI and Machine Learning Tools to Enhance Student Learning
AI and Machine Learning Tools to Enhance Instruction
AI and Machine Learning Tools to Assess Student Outcomes
Assessment
Computing (Algorithms, AI, Machine Learning, Data Science, Cybersecurity, software engineering)
Curriculum and Course Development
Diversity and Broadening Participation
Informal Learning Environments
Pedagogical and Instructional Approaches
Teacher Professional Development
Others

Academic or institutional change
AI and Machine Learning Tools to Enhance Student Learning
AI and Machine Learning Tools to Enhance Instruction
AI and Machine Learning Tools to Assess Student Outcomes
Assessment
Attitudes and Perceptions (students' affects, experiences, and perceptions)
Co-curricular activities (co-ops, internships, global experiences)
Competencies Development
Computer-based instruction (e.g., Gamification, Mobile, learning management systems, social media, virtual reality, etc.)
Computing (Algorithms, AI, Machine Learning, Data Science, Cybersecurity, software engineering, etc.)
Culture of teaching and learning
Curriculum and Course Development
Design (e.g., Capstone project, design process, design thinking, design competitions, multidisciplinary designs)
Diversity and Broadening Participation
Educational reforms in HSI, MSI, HBCUs, tribal colleges, technical colleges, and community colleges
Ethics (Morals, decision making, societal impact & implications of engineering, etc.)
Industry involvement and sponsorship
Informal Learning Environments
Instructional Design
Mental health (anxiety, stress, depression, advising, coaching, well-being)
Nontraditional students
Distance learning (e.g., MOOCs, synchronous, asynchronous)
Instructional methods (e.g., project-based, collaborative learning, flipped classroom, active learning)
Personal and Professional Development
Program evaluation
Teaming and Teamwork
Workplace culture

Academic or institutional change
AI and Machine Learning Tools to Enhance Student Learning
AI and Machine Learning Tools to Enhance Instruction
AI and Machine Learning Tools to Assess Student Outcomes
Assessment
Attitudes and Perceptions (students' affects, experiences, and perceptions)
Competencies Development
Computer-based instruction (e.g., Gamification, Mobile, learning management systems, social media, virtual reality, etc.)
Computing (Algorithms, AI, Machine Learning, Data Science, Cybersecurity, software engineering, etc.)
Culture of teaching and learning
Curriculum and Course Development
Design (e.g., Capstone project, design process, design thinking, design competitions, multidisciplinary designs)
Diversity and Broadening Participation
Educational reforms in HSI, MSI, HBCUs, tribal colleges, technical colleges, and community colleges
Ethics (Morals, decision making, societal impact & implications of engineering, etc.)
Industry involvement and sponsorship
Informal Learning Environments
Instructional Design
Mental health (e.g., anxiety, stress, depression, advising, coaching, well-being)
Nontraditional students
Distance learning (e.g., MOOCs, synchronous, asynchronous)
Pedagogical and Instructional Approaches
Personal and Professional Development
Program evaluation
Teaming and Teamwork
Workplace culture