Toward A Framework for Formative Assessment of Conceptual Learning in K-12 Computer Science Classrooms

被引:18
作者
Grover, Shuchi [1 ,2 ]
机构
[1] Looking Glass Ventures, Palo Alto, CA 94306 USA
[2] Stanford Univ, Palo Alto, CA 94304 USA
来源
PROCEEDINGS OF THE 52ND ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, SIGCSE 2021 | 2021年
关键词
formative assessment; computer science education; K-12 computer science education; teacher preparation; introductory programming; COMPUTATIONAL THINKING;
D O I
10.1145/3408877.3432460
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Unlike summative assessment that is aimed at grading students at the end of a unit or academic term, formative assessment is assessment for learning, aimed at monitoring ongoing student learning to provide feedback to both student and teacher, so that learning gaps can be addressed during the learning process. Education research points to formative assessment as a crucial vehicle for improving student learning. Formative assessment in K-12 CS and programming classrooms remains a crucial unaddressed need. Given that assessment for learning is closely tied to teacher pedagogical content knowledge, formative assessment literacy needs to also be a topic of CS teacher PD. This position paper addresses the broad need to understand formative assessment and build a framework to understand the what, why, and how of formative assessment of introductory programming in K-12 CS. It shares specific programming examples to articulate the cycle of formative assessment, diagnostic evaluation, feedback, and action. The design of formative assessment items is informed by CS research on assessment design, albeit related largely to summative assessment and in CS1 contexts, and learning of programming, especially student misconceptions. It describes what teacher formative assessment literacy PD should entail and how to catalyze assessment-focused collaboration among K-12 CS teachers through assessment platforms and repositories.
引用
收藏
页码:31 / 37
页数:7
相关论文
共 57 条
[31]  
Lister R., 2006, SIGCSE Bulletin, V38, P118, DOI 10.1145/1140123.1140157
[32]  
Lister R., 2005, C RES PRACTICE INFOR
[33]  
Moreno-Leon Jesus, 2015, RED-REVISTA DE EDUCACION A DISTANCIA
[34]   Design and First Results of a Psychometric Test for Measuring Basic Programming Abilities [J].
Muehling, Andreas ;
Ruf, Alexander ;
Hubwieser, Peter .
PROCEEDINGS OF THE 10TH WORKSHOP IN PRIMARY AND SECONDARY COMPUTING EDUCATION, WIPSCE 2015, 2015, :2-10
[35]  
Parsons D., 2006, P 8 AUSTR C COMP ED, V52, P157, DOI DOI 10.5555/1151869.1151890
[36]   Assessment Literacy for Teachers: Faddish or Fundamental? [J].
Popham, W. James .
THEORY INTO PRACTICE, 2009, 48 (01) :4-11
[37]   K-8 Learning Trajectories Derived from Research Literature: Sequence, Repetition, Conditionals [J].
Rich, Kathryn M. ;
Strickland, Carla ;
Binkowski, T. Andrew ;
Moran, Cheryl ;
Franklin, Diana .
PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH (ICER 17), 2017, :182-190
[38]  
González MR, 2015, EDULEARN PROC, P2436
[39]   FORMATIVE ASSESSMENT AND THE DESIGN OF INSTRUCTIONAL-SYSTEMS [J].
SADLER, DR .
INSTRUCTIONAL SCIENCE, 1989, 18 (02) :119-144
[40]   If They Build It, Will They Understand It? Exploring the Relationship between Student Code and Performance [J].
Salac, Jean ;
Franklin, Diana .
PROCEEDINGS OF THE 2020 ACM CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2020, 2020, :473-479