Share Paper: Reducing Novice Programmers’ Cognitive Load and Improving Learning Efficiency by Using Gap-Filled Programming Practice System

  1. Yu-Jen Lo, Taipei Municipal Nei-Hu High School, Taiwan
  2. Chiung-Chen Lin, Taipei Municipal Nei-Hu High School, Taiwan
  3. Lily Hou, Taipei Municipal Nei-Hu High School, Taiwan
  4. Jane-Dong Wu, Taipei Municipal Nei-Hu High School, Taiwan
  5. Yu-Chi Feng, National Experimental High School at Hsinchu Science Park, Taiwan
  6. Te-Chin Chu, National Taiwan Normal University, Taiwan
  7. Greg Lee, National Taiwan Normal University, Taiwan
Thursday, June 26 3:25-3:45 PM B3109

Abstract: One of the main challenges for novice programmers is to learn the statement, syntax, logical thinking and program design in a short time. Students usually experience a heavy cognitive load when learning to program. The limitation of teaching hours in high school also leaves no time for instructors to individually assist each student. In this study, we propose a gap-filled programming practice (GFPP) system to help novice programmers reduce their cognitive load and ensure students focus on the specific contents instructors want them to practice. The research shows that students who were taught with GFPP system scored higher than students ...