Lowe, T. A. (2018, June), Misconceptions and the Notional Machine in Very Young Programming Learners (RTP)  Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. 10.18260/1-2--30811

\bibitem{asee_peer_30811}
  Lowe, T. A. (2018, June), \emph{Misconceptions and the Notional Machine in Very Young Programming Learners (RTP)}
  Paper presented at 2018 ASEE Annual Conference \& Exposition , Salt Lake City, Utah.
  10.18260/1-2--30811

Tony Andrew Lowe.  "Misconceptions and the Notional Machine in Very Young Programming Learners (RTP)".  2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah, 2018, June.  ASEE Conferences, 2018.  https://peer.asee.org/30811 Internet.  08 Jan, 2025

\bibitem{asee_peer_30811}
  Tony Andrew Lowe.
  "Misconceptions and the Notional Machine in Very Young Programming Learners (RTP)".
  \emph{2018 ASEE Annual Conference \& Exposition , Salt Lake City, Utah, 2018, June}.
  ASEE Conferences, 2018.
  https://peer.asee.org/30811 Internet.  08 Jan, 2025

@INPROCEEDINGS{asee_peer_30811
author = "Tony Andrew Lowe"
title = "Misconceptions and the Notional Machine in Very Young Programming Learners (RTP)"
booktitle = "2018 ASEE Annual Conference \& Exposition "
year = "2018"
month = "June"
address = "Salt Lake City, Utah"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/30811}
number = {10.18260/1-2--30811}
}

TY  - CPAPER
AB  - This study looks to capture misunderstandings early programming experience which lead to mistakes as they start coding.   A variety of national effort are extending programming education to younger and younger learners who are tackling an educational challenge many adults struggle to learn.  Literature captures common misconceptions in dealing with programming constructs such as conditionals, loops, and recursion for older learners, but for early learners it may be years before they tackle these more complex concepts.  A common cause for misconception is the lack of, or inaccurate notional machine.  A notional machine is a mental model which describes how a programming language executes on a real device.  The concept of a notional machine aligns well with traditional learning models for young students from several educational theorists, from Dewey’s experiential learning to Bruner’s enactive representations.  Is the development of a notional machine, even in a highly simplified form, equally critical to learning programming as experience was to Dewey and Bruner?  To better understand the early thought process of young novices this study looks at videos of early elementary students working to create basic programming of robots.  By capturing their intended plan (from various representations of their planned program), seeing the resulting execution, and tracking their corresponding corrections to the program we can inventory the types of mistakes learners make, and what strategies they learn to achieve their goals.  The hope is to create a corresponding inventory of common mistakes of early learners in the spirit of those made by later programmers, and thus suggest pedagogical strategies to combat early misconceptions.
AU  - Tony Andrew Lowe
CY  - Salt Lake City, Utah
DA  - 2018/06/23
PB  - ASEE Conferences
TI  - Misconceptions and the Notional Machine in Very Young Programming Learners (RTP)
UR  - https://peer.asee.org/30811
DO  - 10.18260/1-2--30811
ER  -