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Assessing interest and confidence as components of
student motivation in informal STEM learning
Mark Blair
Computer and Information Science
Gannon University
Erie, PA USA
blair012@gannon.edu
Stephen Frezza
Computer and Information Science
Gannon University
Erie, PA USA
frezza001@gannon.edu
Abstract— This Work In Progress submission focuses on the
deployment of assessment metrics of informal Science,
Technology, Engineering and Mathematics (STEM) education
conducted in various pre-college settings. Informal STEM
Learning (ISL) is “learning [that] occurs across the lifespan and
in places and spaces beyond schools or the school day” -NSF. NSF
guidance recommends --among others-- the measure of the impact
category of interest or engagement. The authors ask what is
interest? What are the measures of its success? And how do we
measure them? The authors theorize that interest as an emotional
experience alone is not enough to compel learning behaviors and
compose a composite model of interest and confidence. The
authors suggest the psychological concepts of “motivation” and
“self-efficacy” as a framework to devise measurements of
interest/confidence. The authors propose an analytic model using
QR codes to tie survey responses to a target behavior, “reciprocal
engagement” as a new mechanism for verifying continued learning
behavior. Initial data collection was interrupted by the Covid-19
lock down; however, the partial data body collected showed
indications that self-reported data about learners’ experience in a
lesson is more predictive of continued learning behavior than self-
evaluation items such as “I understood the topic” and “I am
familiar with the topic.”
Keywords— STEM Education Assessment; Student
Engagement; Confidence; Interest; Robotics Activity; Teacher
Engagement; STEM Resources
I. INTRODUCTION
On a warm May afternoon Mark Blair stood in front of the
bleachers on the Wilson Middle School Soccer field. High pitch
screams periodically drowned out his words as racing drones
zipped behind him at speeds in excess of one hundred miles an
hour. The only thing louder than the drones are the excited
shrieks of children watching a cool STEM technology
demonstration. Afterwards a couple of students approached with
excitement and asked, “How can we get some of these drones?”
When they learned of the $500 price they exclaimed, “Man,
screw all that mess! [edited].” Had we just damaged these
students’ motivation toward STEM? While we had observed an
increase in short-term interest, had we done so at the expense of
a learner’s long-term motivation?
Currently, few proclamations are as ubiquitous as “the world
needs more engineers.” This assertion is not without its
detractors [1]. On the current trajectory, STEM skills will have
needed no more justification than did typing skills in the 1980s
and 90s. Informal STEM Learning (ISL) activities aim to
generate interest in STEM [2], but are we asking what is
interest? Are we asking what is the result of generating interest
in young learners or are we assuming its end? It is easy to state
we need to increase interest in STEM learning, but “Interest” is
conceivably only valuable if it results in positive behavioral or
attitudinal changes. From a research perspective, this opens the
question “Is interest a discrete entity or is it part of a more
generalized psychological component?”
The first challenge is to collect data anonymously while
aligning a single respondent with multiple responses and
behavioral interactions over time. The authors theorized that
confidence also plays a critical antecedental role in learning
behavior. If competence is the consequence of ISL, interest and
confidence--or one’s belief about one’s competence--are
antecedents of STEM learning. Our goal is to assess self-
directed STEM learning behaviors in our students during and
following the event(s). The research question is: H1: Confidence
and interest in novice STEM learners combine to form a
threshold for engagement in learning.
II. INTEREST AND CONFIDENCE
As identified above if interest and confidence are
antecedents of STEM learning, these two antecedents must be
discerned from each other. Additionally, each of these
antecedents must be defined based on an empirically founded
body of knowledge in order to build an effective research model.
The problem is, interest does not have a discrete psychological
definition. Psychological studies may use the term interest when
affinity is the characteristic quality, or when attention/focus is
the measured quantity, when curiosity is the characteristic
quality, or how something affects someone is the measured
quantity (as in: “in one’s best interest”). “Theories of interest
split into two fields: (1) interest as a part of emotional
experience, curiosity, and momentary motivation; and (2)
interest as a part of personality, individual differences, and
people's idiosyncratic hobbies, goals, and avocations” [3]. Paul
Silivia describes this dichotomy as the difference between
“interest” and “interests” [3]. In psychology the body of research
regarding motivation best matches the desired ends of “interest”
as it applies to ISL. Motivation is defined as a need, desire, [or
aversion] that serves to energize behavior and to direct it toward
a goal [4].