Revisiting Self-Efficacy in Introductory Programming

2020 ◽  
Author(s):  
Phil Steinhorst ◽  
Andrew Petersen ◽  
Jan Vahrenhold
Keyword(s):  
Self Efficacy ◽  
Introductory Programming

scholarly journals Implicit Theories and Self-Efficacy in an Introductory Programming Course

2018 ◽  
Vol 61 (3) ◽  
pp. 218-225 ◽  
Author(s):  
F. Boray Tek ◽  
Kristin S. Benli ◽  
Ezgi Deveci
Keyword(s):  
Self Efficacy ◽  
Implicit Theories ◽  
Introductory Programming

scholarly journals Self-efficacy and engagement as predictors of student programming performance: An international perspective

2021 ◽  
Author(s):  
◽  
Geetha Kanaparan
Keyword(s):  
Deep Learning ◽  
Focus Groups ◽  
Self Efficacy ◽  
Help Seeking ◽  
Research Model ◽  
Introductory Programming ◽  
Novice Programmer ◽  
Introductory Programming Courses ◽  
Programming Courses ◽  
Survey Questionnaires

<p>High attrition and failure rates are a common phenomenon in introductory programming courses and are a major concern since course instructors are not able to successfully teach novice programmers the fundamental concepts of computer programming and equip them with skills to code solutions to programming problems. Existing solutions that attempt to minimise the high failure and attrition rates have had little impact on improving the performance of the novice programmers. However, the behaviour of the novice programmer has received little attention from introductory programming course instructors although the literature on learning theory suggests that self-efficacy and engagement are two behavioural factors that affect a student’s performance. This study fills the gap in existing research by examining the effect of programming self-efficacy on the engagement of novice programmers, and the effect of their engagement on their programming performance.  A research model that proposes a link between programming self-efficacy and the indicators of engagement that are specific to the context of introductory programming courses, and a link between the indicators of engagement to the programming performance of the novice programmer was developed. A three-phased mixed methods approach which consists of two survey questionnaires and focus groups was used to validate the research model. Data was collected in New Zealand and in Malaysia with 433 novice programmers participating in the survey questionnaires while 4 focus groups were held to refine and validate the indicators of engagement in introductory programming courses. The findings of the focus groups confirmed that participation, help-seeking, persistence, effort, deep learning, surface learning, trial and error, interest, and enjoyment were indicators of engagement while gratification emerged as a new indicator of engagement in introductory programming courses.  The data from the survey questionnaires were analysed using Partial Least Squares Structural Equation Modeling (PLS-SEM). This study found that the programming self-efficacy beliefs of novice programmers had a strong influence on their engagement behaviour with the exception of help-seeking, while effort, enjoyment, deep learning, and surface learning were predictors of programming performance. These findings have implications for introductory programming course instructors and the recommendations emerging from this study include making clear behavioural expectations, designing courses which stimulate and support effective behaviour, and making novice programmers aware of the engagement behaviour that does not lead to better programming performance. This study contributes to the theory of teaching computer programming, and to the practice of designing and delivering introductory programming courses.</p>

scholarly journals Effect of Self-efficacy and Emotional Engagement on Introductory Programming Students

2019 ◽  
Vol 23 ◽  
Author(s):  
Geetha Kanaparan ◽  
Rowena Cullen ◽  
David Mason
Keyword(s):  
Self Efficacy ◽  
Online Survey ◽  
Emotional Engagement ◽  
Failure Rates ◽  
Introductory Programming ◽  
Programming Students ◽  
Negative Effect ◽  
The Relationship ◽  
Introductory Programming Courses ◽  
Programming Courses

High failure rates appear to be a norm in introductory programming courses. Many solutions have been proposed to improve the high failure rates. Surprisingly, these solutions have not lead to significant improvements in the performance of students in introductory programming courses. In this study, the relationship between self-efficacy, emotional engagement and the performance of students in introductory programming courses were examined. Enjoyment, interest, and gratification were identified as three factors contributing to emotional engagement in introductory programming courses from a review of existing literature and from focus groups. An online survey of 433 students in introductory programming courses showed that the students’ programming self-efficacy beliefs had a strong positive effect on enjoyment, while gratification and interest had a negative effect on programming performance. These findings have implications for course instructors who design and deliver introductory programming courses.

scholarly journals Early Prediction for At-Risk Students in an Introductory Programming Course Based on Student Self-Efficacy

Informatica ◽  
2021 ◽  
Vol 45 (6) ◽  
Author(s):  
Mona Jamjoom ◽  
Eatedal Alabdulkreem ◽  
Myriam Hadjouni ◽  
Faten Karim ◽  
Maha Qarh
Keyword(s):  
At Risk ◽  
Self Efficacy ◽  
At Risk Students ◽  
Early Prediction ◽  
Introductory Programming

scholarly journals Self-efficacy and engagement as predictors of student programming performance: An international perspective

2021 ◽  
Author(s):  
◽  
Geetha Kanaparan
Keyword(s):  
Deep Learning ◽  
Focus Groups ◽  
Self Efficacy ◽  
Help Seeking ◽  
Research Model ◽  
Introductory Programming ◽  
Novice Programmer ◽  
Introductory Programming Courses ◽  
Programming Courses ◽  
Survey Questionnaires

<p>High attrition and failure rates are a common phenomenon in introductory programming courses and are a major concern since course instructors are not able to successfully teach novice programmers the fundamental concepts of computer programming and equip them with skills to code solutions to programming problems. Existing solutions that attempt to minimise the high failure and attrition rates have had little impact on improving the performance of the novice programmers. However, the behaviour of the novice programmer has received little attention from introductory programming course instructors although the literature on learning theory suggests that self-efficacy and engagement are two behavioural factors that affect a student’s performance. This study fills the gap in existing research by examining the effect of programming self-efficacy on the engagement of novice programmers, and the effect of their engagement on their programming performance.  A research model that proposes a link between programming self-efficacy and the indicators of engagement that are specific to the context of introductory programming courses, and a link between the indicators of engagement to the programming performance of the novice programmer was developed. A three-phased mixed methods approach which consists of two survey questionnaires and focus groups was used to validate the research model. Data was collected in New Zealand and in Malaysia with 433 novice programmers participating in the survey questionnaires while 4 focus groups were held to refine and validate the indicators of engagement in introductory programming courses. The findings of the focus groups confirmed that participation, help-seeking, persistence, effort, deep learning, surface learning, trial and error, interest, and enjoyment were indicators of engagement while gratification emerged as a new indicator of engagement in introductory programming courses.  The data from the survey questionnaires were analysed using Partial Least Squares Structural Equation Modeling (PLS-SEM). This study found that the programming self-efficacy beliefs of novice programmers had a strong influence on their engagement behaviour with the exception of help-seeking, while effort, enjoyment, deep learning, and surface learning were predictors of programming performance. These findings have implications for introductory programming course instructors and the recommendations emerging from this study include making clear behavioural expectations, designing courses which stimulate and support effective behaviour, and making novice programmers aware of the engagement behaviour that does not lead to better programming performance. This study contributes to the theory of teaching computer programming, and to the practice of designing and delivering introductory programming courses.</p>

High School Introductory Programming on Raspberry Pi Made from Scratch

2017 ◽  
Vol 6 (2) ◽  
pp. 33-45
Author(s):  
Andy Luse ◽  
Bryan Hammer
Keyword(s):  
High School ◽  
High School Students ◽  
Self Efficacy ◽  
Computer Programming ◽  
Raspberry Pi ◽  
School Students ◽  
Introductory Programming ◽  
Males And Females

This article investigates the use of Raspberry Pi and Scratch to introduce novice high school students to computer programming during a short interaction. Results show that, with only a four-hour engagement, students show a significant increase in programming self-efficacy. Furthermore, results show that this increase is the same for both males and females. This provides promising results for those who wish to effectively introduce programming to novices, even over a short engagement period.

Auditory Training to Improve Speech Perception and Self-Efficacy in Aging Adults

2020 ◽  
Vol 63 (4) ◽  
pp. 1270-1281
Author(s):  
Leah Fostick ◽  
Riki Taitelbaum-Swead ◽  
Shulamith Kreitler ◽  
Shelly Zokraut ◽  
Miriam Billig
Keyword(s):  
Speech Perception ◽  
Self Efficacy ◽  
Temporal Order Judgment ◽  
Auditory Training ◽  
Intensity Discrimination ◽  
Training Design ◽  
Auditory Temporal Processing ◽  
Temporal Properties ◽  
Computer Based ◽  
Aging Adults

Purpose Difficulty in understanding spoken speech is a common complaint among aging adults, even when hearing impairment is absent. Correlational studies point to a relationship between age, auditory temporal processing (ATP), and speech perception but cannot demonstrate causality unlike training studies. In the current study, we test (a) the causal relationship between a spatial–temporal ATP task (temporal order judgment [TOJ]) and speech perception among aging adults using a training design and (b) whether improvement in aging adult speech perception is accompanied by improved self-efficacy. Method Eighty-two participants aged 60–83 years were randomly assigned to a group receiving (a) ATP training (TOJ) over 14 days, (b) non-ATP training (intensity discrimination) over 14 days, or (c) no training. Results The data showed that TOJ training elicited improvement in all speech perception tests, which was accompanied by increased self-efficacy. Neither improvement in speech perception nor self-efficacy was evident following non-ATP training or no training. Conclusions There was no generalization of the improvement resulting from TOJ training to intensity discrimination or generalization of improvement resulting from intensity discrimination training to speech perception. These findings imply that the effect of TOJ training on speech perception is specific and such improvement is not simply the product of generally improved auditory perception. It provides support for the idea that temporal properties of speech are indeed crucial for speech perception. Clinically, the findings suggest that aging adults can be trained to improve their speech perception, specifically through computer-based auditory training, and this may improve perceived self-efficacy.

Effects of Using Mixed Reality With Coaching on the Interprofessional Communication Skills of Speech-Language Pathology Graduate Students

2021 ◽  
pp. 1-21
Author(s):  
Jacqueline A. Towson ◽  
Matthew S. Taylor ◽  
Diana L. Abarca ◽  
Claire Donehower Paul ◽  
Faith Ezekiel-Wilder
Keyword(s):  
Graduate Students ◽  
Self Efficacy ◽  
Mixed Reality ◽  
Role Play ◽  
Speech Language Pathology ◽  
Traditional Role ◽  
Allied Health Professionals ◽  
Interprofessional Communication ◽  
Language Pathology ◽  
The Individual

Purpose Communication between allied health professionals, teachers, and family members is a critical skill when addressing and providing for the individual needs of patients. Graduate students in speech-language pathology programs often have limited opportunities to practice these skills prior to or during externship placements. The purpose of this study was to research a mixed reality simulator as a viable option for speech-language pathology graduate students to practice interprofessional communication (IPC) skills delivering diagnostic information to different stakeholders compared to traditional role-play scenarios. Method Eighty graduate students ( N = 80) completing their third semester in one speech-language pathology program were randomly assigned to one of four conditions: mixed-reality simulation with and without coaching or role play with and without coaching. Data were collected on students' self-efficacy, IPC skills pre- and postintervention, and perceptions of the intervention. Results The students in the two coaching groups scored significantly higher than the students in the noncoaching groups on observed IPC skills. There were no significant differences in students' self-efficacy. Students' responses on social validity measures showed both interventions, including coaching, were acceptable and feasible. Conclusions Findings indicated that coaching paired with either mixed-reality simulation or role play are viable methods to target improvement of IPC skills for graduate students in speech-language pathology. These findings are particularly relevant given the recent approval for students to obtain clinical hours in simulated environments.

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