Exploring the Value of Student Self-Evaluation in Introductory Programming
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Arto Hellas | Juha Sorva | Rodrigo Duran | Jan-Mikael Rybicki | Jan Rybicki | Juha Sorva | Arto Hellas | Rodrigo Duran
[1] Jan Vahrenhold,et al. An instrument to assess self-efficacy in introductory algorithms courses , 2018, Inroads.
[2] Allison Elliott Tew,et al. A fresh look at novice programmers' performance and their teachers' expectations , 2013, ITiCSE -WGR '13.
[3] Yingjun Cao,et al. Developing Assessments to Determine Mastery of Programming Fundamentals , 2017, ITiCSE.
[4] John Sweller,et al. Extending Cognitive Load Theory to Incorporate Working Memory Resource Depletion: Evidence from the Spacing Effect , 2018 .
[5] Kari Smolander,et al. Student self-assessment in a programming course using bloom's revised taxonomy , 2010, ITiCSE '10.
[6] Dastyni Loksa,et al. A theory of instruction for introductory programming skills , 2019, Comput. Sci. Educ..
[7] Benjamin S. Bloom,et al. A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom's Taxonomy of Educational Objectives , 2000 .
[8] J. Ángel Velázquez-Iturbide,et al. A Systematic Review of the Use of Bloom's Taxonomy in Computer Science Education , 2018, SIGCSE.
[9] Marcos Romn-Gonzlez,et al. Which cognitive abilities underlie computational thinking? Criterion validity of the Computational Thinking Test , 2017, Comput. Hum. Behav..
[10] Raymond Lister,et al. A qualitative think aloud study of the early neo-piagetian stages of reasoning in novice programmers , 2013, ACE '13.
[11] Kathi Fisler,et al. Harnessing the Wisdom of the Classes: Classsourcing and Machine Learning for Assessment Instrument Generation , 2019, SIGCSE.
[12] B. Zimmerman. Becoming a Self-Regulated Learner: An Overview , 2002 .
[13] Christopher Watson,et al. A systematic review of approaches for teaching introductory programming and their influence on success , 2014, ICER '14.
[14] Lauren E. Margulieux,et al. Review of measurements used in computing education research and suggestions for increasing standardization , 2019, Comput. Sci. Educ..
[15] Jens F. Beckmann,et al. Taming a Beast of Burden--On Some Issues with the Conceptualisation and Operationalisation of Cognitive Load. , 2010 .
[16] E. Sanz,et al. Reseña: Common european framework of reference for languages: Learning, teaching, assessment. Companion volume with new descriptors , 2018 .
[17] David Weintrop,et al. Using Commutative Assessments to Compare Conceptual Understanding in Blocks-based and Text-based Programs , 2015, ICER.
[18] Arto Hellas,et al. Towards a Common Instrument for Measuring Prior Programming Knowledge , 2019, ITiCSE.
[19] Susan Wiedenbeck,et al. Factors affecting course outcomes in introductory programming , 2004, PPIG.
[20] Min Li,et al. An Item Response Theory Evaluation of a Language-Independent CS1 Knowledge Assessment , 2019, SIGCSE.
[21] Michael C. Loui,et al. Setting the Scope of Concept Inventories for Introductory Computing Subjects , 2010, TOCE.
[22] Mark Guzdial,et al. Developing a validated assessment of fundamental CS1 concepts , 2010, SIGCSE.
[23] P. Miller,et al. The Effect of Scoring Criteria Specificity on Peer and Self-assessment , 2003 .
[24] Janet Carter,et al. ITiCSE 2010 working group report motivating our top students , 2010, ITiCSE-WGR '10.
[25] R. Hembree. Correlates, Causes, Effects, and Treatment of Test Anxiety , 1988 .
[26] George Ghinea,et al. Measuring enrichment: the assembly and validation of an instrument to assess student self-beliefs in CS1 , 2014, ICER '14.
[27] J. Sweller. Element Interactivity and Intrinsic, Extraneous, and Germane Cognitive Load , 2010 .
[28] Jacob Cohen. Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.
[29] Paul R. Pintrich,et al. THE ROLE OF SELF-EFFICACY BELIEFS INSTUDENT ENGAGEMENT AND LEARNING INTHECLASSROOM , 2003 .
[30] Cynthia Taylor,et al. Leveraging open source principles for flexible concept inventory development , 2014, ITiCSE '14.
[31] Dion Timmermann,et al. Evidence-based re-design of an introductory course “programming in C” , 2016, 2016 IEEE Frontiers in Education Conference (FIE).
[32] Brenda Cantwell Wilson,et al. Contributing to success in an introductory computer science course: a study of twelve factors , 2001, SIGCSE '01.
[33] Harriet G. Taylor,et al. Exploration of the Relationship between Prior Computing Experience and Gender on Success in College Computer Science , 1994 .
[34] A. Bandura. Self-efficacy: toward a unifying theory of behavioral change. , 1977, Psychological review.
[35] Angela Carbone,et al. Performance and progression of first year ICT students , 2008, ACE '08.
[36] D. Schunk. Modeling and attributional effects on children's achievement: A self-efficacy analysis. , 1981 .
[37] Sven Apel,et al. Measuring programming experience , 2012, 2012 20th IEEE International Conference on Program Comprehension (ICPC).
[38] Dianne Hagan,et al. Does it help to have some programming experience before beginning a computing degree program? , 2000, ITiCSE '00.
[39] Sue Sentance,et al. Learning to use Functions: The Relationship Between Misconceptions and Self-Efficacy , 2019, SIGCSE.
[40] Mark Guzdial,et al. Replication, Validation, and Use of a Language Independent CS1 Knowledge Assessment , 2016, ICER.
[41] Jonathan Gratch,et al. (Re)Validating Cognitive Introductory Computing Instruments , 2019, SIGCSE.
[42] Tony Clear,et al. Report on the Eighth BRACElet workshop: BRACElet technical report 01/08 AUT university, Auckland , 2009 .
[43] P. Bentler,et al. Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .
[44] John A. Ross. The Reliability, Validity, and Utility of Self-Assessment , 2006 .
[45] Raymond Lister,et al. Relationships between reading, tracing and writing skills in introductory programming , 2008, ICER '08.
[46] إسلام يسري علي. مراجعة كتاب الإطار المرجعي الأوروبي المشترك للغات: دراسة، تدريس، تقييم / The Common European Framework of Reference for Languages: Learning, Teaching, Assessment , 1970 .
[47] Raymond Lister,et al. Exploring Machine Learning Methods to Automatically Identify Students in Need of Assistance , 2015, ICER.
[48] Raymond Lister,et al. Toward a Developmental Epistemology of Computer Programming , 2016, WiPSCE.
[49] Roy D. Pea,et al. Assessing computational learning in K-12 , 2014, ITiCSE '14.
[50] Cynthia Taylor,et al. Computer science concept inventories: past and future , 2014, Comput. Sci. Educ..
[51] Barbara A. Greene,et al. Identification with academics, intrinsic/extrinsic motivation, and self-efficacy as predictors of cognitive engagement , 2006 .
[52] Elliot Soloway,et al. Learning to program = learning to construct mechanisms and explanations , 1986, CACM.
[53] Amy J. Ko,et al. Comparing the Effectiveness of Online Learning Approaches on CS1 Learning Outcomes , 2015, ICER.
[54] Amy J. Ko,et al. Comprehension First: Evaluating a Novel Pedagogy and Tutoring System for Program Tracing in CS1 , 2017, ICER.
[55] Q. Vuong. Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses , 1989 .
[56] Josh D. Tenenberg,et al. Do computer science students know what they know?: a calibration study of data structure knowledge , 2005, ITiCSE '05.
[57] Stephen Chi-fai Chan,et al. On the implementation of self-assessment in an introductory programming course , 2010, SGCS.
[58] Juha Sorva,et al. Towards an Analysis of Program Complexity From a Cognitive Perspective , 2018, ICER.
[59] T. Gog,et al. Training self-assessment and task-selection skills: A cognitive approach to improving self-regulated learning , 2012 .
[60] Donna Teague,et al. Neo-Piagetian Theory and the novice programmer , 2015 .