Formative Assessment using Computer-Aided Assessment

The research objective is to produce a product that is a model of computer aided formal formative assessment on the rotational dynamics of matter, as well as measure the feasibility of a formal model of computer-aided formative assessment through the validation test. This study uses research design and development. The instrument used in the form of a questionnaire for the assessment validator and test the quality of products by users in limited testing. Validation activities include the validation of product development and validation of multiple choice questions as components of the product. Validation carried out by two lecturers and two teachers. Limited trial conducted on 10 students of class XI SMAN 1 Lawang. Type of research data includes quantitative data such as ratings and feedback validator students based on Likert scale, as well as qualitative data in the form of comments and suggestions provided by the validator. The results of the quantitative data analysis showed that the resulting product included in either category so that it does not require a significant revision. Based on qualitative data, the product has been revised based on the comments and suggestions validator. Products produced already is feasible but still requires further research and development, and trials are repeated so that more can be used in the rotational dynamics of learning materials.Key word: formative assessment, formative assessment formal models of computer aided

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

ANZIAM Journal ◽

10.21914/anziamj.v61i0.15166 ◽

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.

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Does computer-aided formative assessment improve learning outcomes?

International Journal of Mathematical Education in Science and Technology ◽

10.1080/0020739x.2013.822583 ◽

2013 ◽

Vol 45 (2) ◽

pp. 269-281 ◽

Cited By ~ 3

Author(s):

John Hannah ◽

Alex James ◽

Phillipa Williams

Keyword(s):

Formative Assessment ◽

Learning Outcomes ◽

Computer Aided

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Computer-aided methods for 3-D visualization of serial sections and thick biological specimens

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100129930 ◽

1992 ◽

Vol 50 (2) ◽

pp. 1060-1061

Author(s):

Mark Ellisman ◽

Maryann Martone ◽

Gabriel Soto ◽

Eleizer Masliah ◽

David Hessler ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Three Dimensional ◽

Neuritic Plaque ◽

Dimensional Structure ◽

Data Sets ◽

Molecular Physiology ◽

Research Activities ◽

Computer Aided ◽

Dimensional Reconstruction

Structurally-oriented biologists examine cells, tissues, organelles and macromolecules in order to gain insight into cellular and molecular physiology by relating structure to function. The understanding of these structures can be greatly enhanced by the use of techniques for the visualization and quantitative analysis of three-dimensional structure. Three projects from current research activities will be presented in order to illustrate both the present capabilities of computer aided techniques as well as their limitations and future possibilities.The first project concerns the three-dimensional reconstruction of the neuritic plaques found in the brains of patients with Alzheimer's disease. We have developed a software package “Synu” for investigation of 3D data sets which has been used in conjunction with laser confocal light microscopy to study the structure of the neuritic plaque. Tissue sections of autopsy samples from patients with Alzheimer's disease were double-labeled for tau, a cytoskeletal marker for abnormal neurites, and synaptophysin, a marker of presynaptic terminals.

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Three-Dimensional Subcellular Organization of Hepatocytes in Intact Liver: Simultaneous Visualization of Cytoskeletal and Membrane Markers by Confocal Microscopy

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100163903 ◽

1996 ◽

Vol 54 ◽

pp. 288-289

Author(s):

Greg V. Martin ◽

Ann L. Hubbard

Keyword(s):

Three Dimensional ◽

Integral Membrane Proteins ◽

Polarized Secretion ◽

Microscope Images ◽

Computer Aided ◽

Intracellular Organelles ◽

Cytoskeletal Elements ◽

Simultaneous Visualization

The microtubule (MT) cytoskeleton is necessary for many of the polarized functions of hepatocytes. Among the functions dependent on the MT-based cytoskeleton are polarized secretion of proteins, delivery of endocytosed material to lysosomes, and transcytosis of integral plasma membrane (PM) proteins. Although microtubules have been shown to be crucial to the establishment and maintenance of functional and structural polarization in the hepatocyte, little is known about the architecture of the hepatocyte MT cytoskeleton in vivo, particularly with regard to its relationship to PM domains and membranous organelles. Using an in situ extraction technique that preserves both microtubules and cellular membranes, we have developed a protocol for immunofluorescent co-localization of cytoskeletal elements and integral membrane proteins within 20 µm cryosections of fixed rat liver. Computer-aided 3D reconstruction of multi-spectral confocal microscope images was used to visualize the spatial relationships among the MT cytoskeleton, PM domains and intracellular organelles.

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