Improving Integrity in CS1 Course Using Formative Assessment and Version Control Tools

2021 ◽  
pp. 234763112110318
Author(s):  
Srinivasan Lakshminarayanan ◽  
N. J. Rao
Keyword(s):  
Formative Assessment ◽  
Professional Practice ◽  
Academic Integrity ◽  
Version Control ◽  
Final Examination ◽  
Authentic Tasks ◽  
Technology Tools ◽  
Quality Of Learning

There are many grey areas in the interpretation of academic integrity in the course on Introduction to Programming, commonly known as CS1. Copying, for example, is a method of learning, a method of cheating and a reuse method in professional practice. Many institutions in India publish the code in the lab course manual. The students are expected to practice the programs in the manual and write them in the final examination without looking at the reference code. Many institutions apportion some marks for copying the program from the manual to record books. The system thus, inherently encourages copying. The student listens to the program’s explanation in the lecture, practices the same program in the lab, writes the same program in the record book and again studies the same program for the final examination conducted at the end of the semester. This process facilitates students, to some extent, to understand the concepts. However, a significant disadvantage of this system is that most students do not acquire the ability to write programs for authentic tasks. In the context of very rigid laboratory protocols that exist in CS1 courses across most of the Institutes in India, an additional lab protocol that focuses on students’ integrity can potentially improve the quality of learning. This article presents a method of using technology tools to improve integrity without disturbing the existing system.

scholarly journals Effects of a change to more formative assessment among tertiary mathematics students

2020 ◽  
Vol 61 ◽  
pp. C255-C272
Author(s):  
Mary Ruth Freislich ◽  
A. Bowen-James
Keyword(s):  
Formative Assessment ◽  
Learning Outcomes ◽  
First Year ◽  
Mathematics Students ◽  
Web Based ◽  
Solo Taxonomy ◽  
University Of Technology ◽  
Computer Aided ◽  
Quality Of Learning

A change in teaching delivery at a large Australian university, from two semesters to three trimesters, was the occasion for using more formative assessment in a core first-year mathematics unit. This study compared evidence about learning outcomes for two cohorts in adjacent years. Cohort 1 was the last taught over a semester, and Cohort 2 the first taught over a trimester. There was no change in overall workload, and no change in the unit's total teaching hours, syllabus or materials. Assessments were changed for class tests during the teaching period by giving Cohort 2 access to unlimited practice and computer-assisted feedback on the questions in the test database, followed by doing the tests under examination conditions. For Cohort 2, a written assignment was also added, focused on giving a clear solution to a mathematics problem, and awareness of the need for appropriate evidence, both background and internal to the problem. Learning outcomes were compared using closely comparable tasks from the final examinations, and examining students' answers in the examination scripts. Outcomes were assessed by a method derived from the solo taxonomy, which afforded a common scale to measure the quality of learning outcomes observable in final examination scripts. Results on separate tasks, plus those for a composite score, favoured Cohort 2. The effect size for the composite score was 0.457. This indicates that the unlimited practice with computer feedback for class tests, and the writing assignment, were functioning as intended in promoting learning with understanding. References S. Bengmark, H. Thunberg, and T. M. Winberg. Success-factors in transition to university mathematics. Int. J. Math. Ed. Sci. Tech., 48(7):988–1001, 2017. doi:10.1080/0020739X.2017.1310311. J. B. Biggs and K. F. Collis. Evaluating the quality of learning: The SOLO taxonomy. Academic Press, New York, 1981. URL https://www.elsevier.com/books/evaluating-the-quality-of-learning/biggs/978-0-12-097552-5. A. Bowen-James. Perceptions of learning environments among tertiary mathematics students. Sc.Ed.D. Thesis. Curtin University of Technology, 2002. H. Chick, J. M. Watson, and K. F. Collis. Using the solo taxonomy for error analysis in mathematics. Res. Math. Ed. Aust., 1(1):34–47, 1988. M. R. Freislich. A comparison between the effects of Keller Plan instruction and traditional teaching methods on the structure of learning outcomes among tertiary mathematics students. Sc.Ed.D. Thesis. Curtin University of Technology, 1997. M. R. Freislich. The effects of Keller Plan instruction on the achievement and attitudes of tertiary mathematics students. Proc. Int. Conf. Teach. Math., Istanbul. 2006. M. Gill and M. Greenow. How effective is feedback in computer-aided assessment? Learn. Media Tech., 33(3):207–220, 2008. doi:10.1080/17439880802324145. J. Hannah, A. James, and P. Williams. Does computer-aided formative assessment improve learning outcomes? Int. J. Math. Ed. Sci. Tech., 45(2):269–281, 2014. doi:10.1080/0020739X.2013.822583. D. Harris and M. Pampaka. \T1\textquoteleft they [the lecturers] have to get through a certain amount in an hour\T1\textquoteright : first year students\T1\textquoteright problems with service mathematics lectures. Teach. Math. App., 35(3):144–158, 2016. doi:10.1093/teamat/hrw013. S. Higgins and M. Katsipataki. Communicating comparative findings from meta-analysis in educational research: some examples and suggestions. Int. J. Math.. Res. Meth. Ed., 39(3):237–254, 2016. doi:10.1080/1743727X.2016.1166486. P. W. Hillock and R. N. Khan. A support learning programme for first-year mathematics. Int. J. Math. Ed. Sci. Tech., 50(7):24–29, 2019. doi:10.1080/0020739X.2019.1656830. A. Hodge, J. C. Richardson, and C. S. York. The impact of a web-based homework tool in university algebra courses on student learning and strategies. J. Online Learn. Teach., 5(4):618–629, 2009. URL https://jolt.merlot.org/vol5no4/hodge_1209.htm. D. Holton and D. Clarke. Scaffolding and metacognition. Int. J. Math. Ed. Sci. Tech., 37(2):127–143, 2006. doi:10.1080/00207390500285818. A. H. Jonsdottir, A. Bjornsdottir, and G. Stefansson. Difference in learning among students doing pen-and-paper homework compared to web-based homework in an introductory statistics course. J. Stat. Ed., 25(1):12–20, 2017. doi:10.1080/10691898.2017.1291289. M. McAlinden and A. Noyes. Mathematics in the disciplines at the transition to university. Teach. Math. App., 38(2):61–73, 2019. doi:10.1093/teamat/hry004. J. Nicholas, L. Poladian, J. Mack, and R. Wilson. Mathematics preparation for university: entry pathways and their effect on performance in first year mathematics and science subjects. Int. J. Innov. Sci. Math. Ed., 23(1):37–51, 2015. https://openjournals.library.sydney.edu.au/index.php/CAL/article/view/8488. M. I. Nunez-Pena, R. Bono, and M. Suarez-Pellicioni. Feedback on students' performance: a possible way of reducing the negative effect of math anxiety in higher education. Int. J. Ed. Res., 70(1):80–87, 2015. doi:10.1016/j.ijer.2015.02.005. J. T. E. Richardson. Student learning in higher education: a commentary. Ed. Psych. Rev., 29(1):353–362, 2017. doi:10.1007/s10648-017-9410-x. L. J. Rylands and D. Shearman. Mathematics learning support and engagement in first year engineering. Int. J. Math. Ed. Sci. Tech., 49(8):1133–1147, 2018. doi:10.1080/0020739X.2018.1447699. K. A. Seaton. Efficacy and efficiency in formative assessment: an informed reflection on the value of partial marking. Int. J. Math. Ed. Sci. Tech., 44(7):963–971, 2013. doi:10.1080/0020739X.2013.831490. D. Wood, J. S. Bruner, and G. Ross. The role of tutoring in problem solving. J. Child Psychol. Psych., 17(1):89–100, 1976. doi:10.1111/j.1469-7610.1976.tb00381.x. L. Zetterqvist. Applied problems and use of technology in an aligned way in basic courses in probability and statistics for engineering students—a way to enhance understanding and increase motivation. Teach. Math. App., 36(2):108–122, 2017. doi:10.1093/teamat/hrx004.

PENGARUH STRATEGI PEMBELAJARAN DAN MINAT BELAJAR TERHADAP HASIL BELAJAR KONSTRUKSI POLA PADA SISWA SMK NEGERI 8 MEDAN

2012 ◽  
Vol 18 (3) ◽  
pp. 121
Author(s):  
Surniati Chalid
Keyword(s):  
Secondary Education ◽  
Learning Outcomes ◽  
Learning Strategies ◽  
Construction Material ◽  
Quality Of Education ◽  
Vocational Schools ◽  
Educational Facilities ◽  
Quality Of Learning

Vocational schools (SMK) is a secondary education that preparesstudents primarily for working on a particular field. Diverse efforts made by SMKgraduates increased 8 Medan include improving the quality of education byreforming both the substance of the material and the provision of facilities andinfrastructure. However, the results have not been up, cermatan can be seen fromthe low competence of graduates, making it less able to play a role in meeting thedemands of the workplace. Assumed to be an indication of the quality of learning isstill performed during less effective, less efficient and unable to increase studentinterest. In order to achieve maximum learning outcomes is through theimprovement of learning strategies to utilize the educational facilities in accordancewith existing conditions, ie, by examining one of the subjects namely Constructiondressmaking pattern. Construction material pattern done with learning strategyapproach manipulated into two comparing results STAD cooperative learningstrategies and learning strategies expository and compare the results with thelearning characteristics of students with high and low interest in learning onlearning outcomes Pattern Construction.

MODIFIKASI MODEL PEMBELAJARAN TEAM ASSISTED INDIVIDUALIZATION DENGAN STRATEGI PEMBELAJARAN TUGAS DAN PAKSA

2019 ◽  
Vol 2 ◽  
Author(s):  
Lea Christy Restu Kinasih ◽  
Dewi Fatimah ◽  
Veranica Julianti
Keyword(s):  
Cooperative Learning ◽  
Learning Strategies ◽  
Learning Process ◽  
Learning Model ◽  
Learning Models ◽  
Classroom Learning ◽  
Quality Of Learning ◽  
The Given

The selection and determination of appropriate learning strategies can improve the results to be obtained from the application of classroom learning models. This writing aims to discipline students to develop individual abilities of students to be more active in the learning process and improve the quality of learning. The learning process in Indonesia in general only uses conventional learning models that make students passive and undeveloped. In order for the quality of learning to increase, the Team Assisted Individualization learning model is combined with the task learning and forced strategies. The Team Assisted Individualization cooperative learning model is one of the cooperative learning models that combines learning individually and in groups. Meanwhile, task and forced learning strategies are strategies that focus on giving assignments that require students to complete them on time so that the learning process can run effectively. Students are required to do assignments according to the given deadline. This makes students become familiar with the tasks given by the teacher. Combining or modifying the learning model of the assisted individualization team with forced and forced learning strategies is expected to be able to make students more active, disciplined, independent, creative in learning and responsible for the tasks assigned. Therefore this method of incorporation is very necessary in the learning process and can be applied to improve the quality of learning in schools.

Administrasi Hubungan Sekolah dan Masyarakat

2020 ◽  
Author(s):  
Fisma Janusuri
Keyword(s):  
Community Participation ◽  
Community Empowerment ◽  
Major Influence ◽  
Learning Achievement ◽  
Quality Of Learning ◽  
Good Schools ◽  
Education Process

Community empowerment in education is needed especially to support the implementation of good schools. The level of community participation in the education process in this school seems to have a major influence on the progress of the school, the quality of learning services in schools which will ultimately affect the progress and learning achievement of children in school.

Pengaruh Kualitas Pembelajaran dan Minat Belajar Terhadap Hasil Belajar Mahasiswa Akuntansi Pada Mata Kuliah Matematika Ekonomi

2020 ◽  
Vol 3 (2) ◽  
pp. 215-221
Author(s):  
Nelly Budiyarti
Keyword(s):  
Path Analysis ◽  
Student Learning ◽  
Learning Outcomes ◽  
Student Learning Outcomes ◽  
Student Interest ◽  
Exogenous Variables ◽  
Quality Of Learning ◽  
Learning Interest ◽  
Positive Effect

Abstrak: Kualitas pembelajaran dan minat belajar memungkinkan hasil belajar mahasiswa meningkat. Sehingga diharapkan kualitas pembelajaran dan minat belajar mahasiswa tinggi untuk mencapai hasil belajar yang tinggi pula. Penelitian ini bertujuan untuk melihat bahwa kualitas pembelajaran dan minat belajar mahasiswa berpengaruh terhadap peningkatan hasil belajar mahasiswa Akuntansi pada mata kuliah Matematika Ekonomi. Penelitian ini merupakan penelitian survei dengan meggunakan teknik analisis jalur (path analysis), dimana terdapat dua variabel eksogen dan satu variabel endogen.  Variabel eksogen berupa kualitas pembelajaran dan minat belajar, sedangkan variabel endogen berupa hasil belajar. Hasil penelitian ini adalah Kualitas Pembelajaran berpengaruh langsung positif terhadap Hasil Belajar, Minat Belajar berpengaruh langsung positif terhadap Hasil Belajar, dan Kualitas Pembelajaran berpengaruh langsung positif terhadap Minat Belajar Mahasiswa. Abstract:  The quality of learning and interest in learning allows student learning outcomes to increase. It is hoped that the quality of learning and student interest in learning will be high to achieve high learning outcomes. This study aims to see that the quality of learning and student interest in learning has an effect on improving student learning outcomes in Accounting Economics Mathematics courses. This research is a survey research using path analysis technique, where there are two exogenous variables and one endogenous variable. Exogenous variables are learning quality and learning interest, while endogenous variables are learning outcomes. The results of this study are Learning Quality has a direct positive effect on Learning Outcomes, Learning Interest has a direct positive effect on Learning Outcomes, and Learning Quality has a direct positive effect on Student Learning Interest.

Action Research and Practical Inquiry: An Overview and an Invitation to Teachers of Gifted Learners

1995 ◽  
Vol 18 (4) ◽  
pp. 467-484 ◽  
Author(s):  
Carol Ann Tomlinson
Keyword(s):  
Action Research ◽  
Professional Practice ◽  
Gifted Learners

Action research is a method of systematically investigating classroom procedures and practices with an eye toward improving the quality of action in the schools. Teachers may use action research or practical inquiry in the course of their professional practice as a way of understanding teaching more fully, identifying and addressing classroom problems, extending their professionalism, and contributing to the field of education. This article provides background on, definitions of, and guidance for conducting action research. It also serves as a call for submitting to this journal reports from action research and practical inquiry for review and possible publication in JEG.

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